Research Artical

Research Artical

Bibliometric Analysis of Nasopharyngeal Carcinoma in SCI Database (1999-2012)

Yu Lin; Xiaofei Mao

 

Journal of Nasopharyngeal Carcinoma Editorial Office, E18, 3/f, Yongda building, Wen Xian Tung street 97, Sheung Wan, Hong Kong

Corresponding author: Xiaofei Mao. Journal of Nasopharyngeal Carcinoma Editorial Office, E18, 3/f, Yongda building, Wen Xian Tung street 97, Sheung Wan, Hong Kong. Email: xiaofeimao@asiapress.asia

 

Citation: Yu Lin, Xiaofei Mao. Bibliometric Analysis of Nasopharyngeal Carcinoma in SCI Database (1999-2012). J Nasopharyngeal Carcinoma, 2015, 2(3): e23. doi:10.15383/jnpc.23.

Competing interests: The authors have declared that no competing interests exist.

Conflict of interest: None.

Copyright:http://journalofnasopharyngealcarcinoma.org/Resource/image/20140307/20140307234733_0340.png2015 By the Editorial Department of Journal of Nasopharyngeal Carcinoma. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

 

Abstract

Objective: To understand the development of nasopharyngeal carcinoma researches in worldwide, and to study the development feasibility of professional journal on nasopharyngeal carcinoma. Methods: The literatures on nasopharyngeal carcinoma were systematically retrieved from databases of SCI (Science Citation Index) from 1999 to 2012, and the data of publishing time, journal title, article type, language, research area, first author, correspondence author, district, and fund, etc were collected and bibliometricly analyzed. Results: An increasing trend of paper publication was detected, corresponding with linear and exponential growth pattern. Journal distribution was accordance with Bradfords' Law; the literatures of nasopharyngeal carcinoma were assembling and parting distribution. The first author and corresponding author with high academic influence are mainly distributed in China (h-index top ten accounts for eight). Besides, the first author distribution conformed to Lotka' s law; whereas, the correspondence author distribution did not. Mainland China, Hong Kong and Taiwan occupied an important position in respect of first author, correspondence author and fund. Conclusion: Nasopharyngeal carcinoma study needs professional journals bearing a larger number of scientific research achievements, and journals run in China, where the Nasopharyngeal carcinoma incidences was reported the highest in the world, may promote the development of this subject.

Keywords: Nasopharyngeal carcinoma; Scientific outcome; Bibliometrics; Periodica

 


 


Introduction

Nasopharyngeal carcinoma has unique racial/ethnic and geographic distribution, and is endemic in Southeast Asia, East Africa and Arabia, with China Guangdong province and Hong Kong reporting some of the highest incidences in the world[1,2,3,4].

To understand the research development of nasopharyngeal carcinoma in worldwide, we used the bibliometric methods to retrieve the literatures of nasopharyngeal carcinoma from electronic databases of SCI (Science Citation Index) from 1999 to 2012, which will provide reference for scientific and clinical research.

 

Methods

Data collection

The SCI (Science Citation Index) published by ISI (Institute for Scientific Information) is a world famous journal and literature retrieving tool.

This article was conducted by retrieving literatures in the electronic reading room of Sun Yat-sen University libraries in 4th January, 2014. We chose the online edition of the SCI containing two types of database (SCI-Expanded, SCI-E and Social Sciences Citation Index, SSCI) as retrieving resources for statistics.

Retrieving terms were as follows:

Topic = (Nasopharyngeal Carcinoma)

Time span = 1994-2012

Database = SCI-EXPANDED, SSCI, CPCI-S, CCR-EXPANDED, IC

Retrieving results: there were 23,383,484 records in total, in which 7,413 records matched the search logic. In addition, by eliminating 1 record of 1994, 1 record of 1996, 2 records of 1997, 737 records of 2013 and 6 records of 2014, finally, 6666 records from 1999 to 2012 were obtained.

Data Analysis

Price's law

Price proposed an exponential interrelated expression in 1963 including the parameters of literature growth and time: N(t)= N0žebt, where N(t) is the literature cumulant at time t, N0 is the literature initial cumulant, b is the continuous growth rate of the literature[5]. Given the limitation of the exponential model, scholars proposed many other models subsequently. At present, the growth law of exponential model, linear model and logistic model is only suitable for the development of a subject at a certain time[6]. This article tested whether the literature growth conformed to the exponential model, linear model and logistic model[6,7].

Bradford's Law

British philologist Bradford first proposed experiential law describing literature dispersion pattern in 1934. Its expression is that one core zone and several subsequent zones are divided if the science and technology journals are ranked based on the number of papers in decreasing order and every zone publishes equal papers. Thus, the quantitative relationship between the core journal and the subsequent zones was 1:n:n2...

Bradford's Law , describes how the articles in a specific area are scattered across journals, postulating a model of concentric productivity zones with a decreasing information density[8,9]. Following the proposal of Egghe the Bradford multiplier was obtained by k= (1.781žym)^1/P, where ym is the number of articles published by the most productive journal and P is the number of zones including the nucleus[10,11]. The predicted frequencies were also fitted according to Leimkuhlers formulation , obtaining the constants as A = y0/loge k and B = (k-1)/r0, where y0 is the constant number of articles in each group (y0 = a/P, where a is the total number of articles and P is as defined above), k is as defined above and r0 is the expected number of journals in the core (r0 = Tž(k-1)/ k^(P-1) , where T is the total number of journals, and k and P are as defined above) [12]. Finally, the estimated cumulative number of articles produced by the journals of rank 1, 2, r was obtained by: R(r) = Ažloge(1+ Bžr).

Lotka's law

America scholar A.J. Lotka first proposed Lotka's law, which is also called Inverse square law, representing the scientific productivity in 1920s. It describes the relationship between the number of scientific workers and their papers: the number of authors with two papers is 1/4 of that with one paper; the number of authors with three papers is 1/9 of that with one paper; the number of authors with N papers is 1/n2of that with one paper, although, the number of authors with one paper occupies about 60% of the total authors. This Law is considered firstly to reveal the relationship between the authors and the number of articles.[13]

Lotka's law was applied using the method proposed by Pao, including in the analysis both the first author and co-authors[14, 15]. According to Lotka's law the number of authors (y) with x number of articles is inversely proportional to x. This relationship is expressed by the formula:;

where y is the number of authors producing x number of articles in a given research field, and C and n are constants that can be estimated from the observed data set. Although many authors take a value of two as the value of the exponent, as did Lotka in his original paper[13], it is known that the n exponent can vary depending on factors such as the inclusion of co-authors in the analysis or the number of pairs included in the calculation of the exponent[14]. For the present study, the least-squares method was used to calculate the n exponent, expressed by the formula:

Estimation of the exponent n

The value of n is calculated by the least square-method using the following formula:

N = number of pairs of data

X = logarithm of x, i. e. number of monographs

Y = logarithm of y, i. e. number of personal name headings

The least-square method is used to estimate the best value for the slope of a regression line which is the exponent n for Lotka's law. The slope is usually calculated without data points representing authors of high productivity. Lotka suggested highly productive authors be considered separately and cuts off his two data sets at the first 17 points for physics and at 30 points for chemistry distribution, his cutoff was determined visually. The best cutoff can be computed also by the following formula: , Where is the total sample.

Since values of the slope change with different number of points for the same set of data, we have made several computations of n. The median or the mean values of n can also be identified as the best slope for the observed distribution. Different values of n produce different values of the constant c.

Calculation of the constant c

For estimate of the constant c, if we accept Lotkas conclusion that the proportion of all authors making a single contribution is about 60%, then the value of c can be computed by the simple formula 6/2. If n equals 2, c is the inverse of the summation of the infinite series:  the limit of each equals to 2/6. For other non-negative fractional values of n, the summation of the series can be approximated by a function calculating the sum of the first P terms. It is found that the error is negligible if P is set to 20.

The value of the constant c is calculated using the following formula:

Kolmogorov-Smirnov (K-S) test

Pao suggests the K-S test, a goodness-of-fit statistical test to assert that the observed author productivity distribution is not significantly different from a theoretical distribution[14]. The hypothesis concerns a comparison between observed and expected frequencies. The test allows the determination of the associated probability that the observed maximum deviation occurs within the limits of chance. The maximum deviation between the cumulative proportions of the observed and theoretical frequency is determined by the following formula:

F0(x) = theoretical cumulative frequency

Sn(x) = observed cumulative frequency

The test is performed at the 0.05 or at the 0.01 level of significance. When sample size is greater than 35, the critical value of significance is calculated by the following formula:

The critical value at the 0.05 level of significance:

The critical value at the 0.01 level of significance:

If the maximum deviation falls within the critical value the null hypothesis that the data set confirms to Lotka's law can be accepted at a certain level of significance. But if it exceeds the critical value the null hypothesis must be rejected at a certain level of significance and concluded that the observed distribution is significantly different from the theoretical distribution[16].

h-index

The h-index is a new bibliometric methods proposed by the American physicist Hirsch. It is an index that attempts to measure both the productivity and citation impact of the published body of work of a scientist or scholar. Hirsch h-index is defined as follows: a scholar with an index of h has published h papers each of which has been cited in other papers at least h times. Hirsch believes that the h-index can accurately reflect a person's academic achievement. The higher h-index means greater academic influence[17]. Many scholars suggest that the h-index is not only a composite measure of the quantity and quality of the paper, but also a very effective indicator to evaluate individual academic achievement[18, 19, 20].

 

Data analysis was performed using R version 3.0.2.

 

Results

Distribution of publication year

There were 6666 nasopharyngeal carcinoma related literatures from 1999 to 2012 in an increasing trend with year (Table 1).



Table 1 The literatures distribution from 1999 to 2012

Published year

Freq(n)

Cum freq(n)

Percentage

1999

265

265

3.98

2000

297

562

4.46

2001

328

890

4.92

2002

359

1249

5.39

2003

353

1602

5.3

2004

439

2041

6.59

2005

440

2481

6.6

2006

486

2967

7.29

2007

482

3449

7.23

2008

524

3973

7.86

2009

574

4547

8.61

2010

624

5171

9.36

2011

653

5824

9.8

2012

842

6666

12.63

 

Table 2 The results of three different fittings

Model

F-statistic

DF

P-value

Multiple R-squared

Adjusted R-squared

Exponential

136.7

12

6.462e-08

0.9193

0.9126

Linear

695.1

12

5.429e-12

0.983

0.9816

Logistic

48.75

12

1.47e-05

0.8025

0.786



This author employed the exponential curve, linear curve and logistic curve fittings to verify whether the data conform to Price's law (Table 2). The results showed that the exponential and linear curve fittings were well, and the degree of linear curve fitting was the highest. Linear curve fitting model: N(t)=-636.78+481.92(t-1998)

Exponential curve fitting model: N(t)=424.7242e0.21719(t-1998)

Distribution of source

The above 6666 articles were published in 1147 journals, and each journal published 5.81 articles on average.

The journals were arranged based on the number of published paper from more to less. The Bradford distribution graph of literature was obtained with the abscissa being the logarithm of journal cumulant, and the ordinate being the related literature cumulant.

As shown in the figure 1, the literature distribution was basically fitted with the Bradford's law: Bradford curve was an upward curve firstly, then, bent down after entering the straight part.


 

Figure 1. The Bradford distribution of literature

 

Figure 2. The scatter diagram of the authors distribution


According to the Bradford's law, the quantitative relationship among the core zone, related zones and unrelated zones is 1nn2.

k=(e^0.5772*475)^(1/3)=9.4578

r0=1147*(9.4578-1)/(9.4578^3-1)=11.4806

a=6666/3/log(9.4578)=988.9452

b=(9.4578-1)/11.4806=0.7367

R(r)=988.9452*log(1+0.7367*r)


 

Table 3 The results of Bradfords law

Zone

Expected number of journals

Number of journals

Number of articles

Cumulative articles

Estimated k

R(r)

1

11.48

11

1633

1633

-

2184.266

2

108.58

109

2698

4331

9.91

4349.531

3

1026.94

1027

2335

6666

9.42

6556.85

 

Table 4 The information of top 11 journals

Source

Freq

Percentage

2012 IF

INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS

475

7.13

4.524

HEAD AND NECK-JOURNAL FOR THE SCIENCES AND SPECIALTIES OF THE HEAD AND NECK

153

2.3

2.833

INTERNATIONAL JOURNAL OF CANCER

153

2.3

6.198

JOURNAL OF CLINICAL ONCOLOGY

131

1.97

18.038

RADIOTHERAPY AND ONCOLOGY

127

1.91

4.52

JOURNAL OF VIROLOGY

125

1.88

5.076

ORAL ONCOLOGY

106

1.59

2.695

CANCER

102

1.53

5.201

CLINICAL CANCER RESEARCH

95

1.43

7.837

LARYNGOSCOPE

86

1.29

1.979

ANNALS OF ONCOLOGY

80

1.2

7.384

 


From the estimated k value, the average k value was 9.67 (r0=11.48), percentage error was 4.28%, the journal distribution was basically fitted with the Bradford's law (Table 3).

Among which, the journals belonging to the core zone were the top 11 ones, occupying 0.96% of the total journals, and their published papers accounted for 24.50% of all articles (Table 4).

Distribution of document type

According to the type of published articles, there were 11 types of publication. The most were journal articles, and totally 5225, accounting for 78.83%. The second and the third types were the abstract and review, respectively, having 586 and 521 articles, accounting for 8.79% and 7.82%, respectively (Table 5).

Distribution of language

According to the language of literature, there were 11 types. The English language dominated with 6454 articles, accounting for 96.82% (Table 6).

Distribution of research area

According to the research area (one article may be related to several research areas), 89 was detected. Among which, the Oncology was the dominant, possessing 3037 articles, accounting for 45.56%. The second, third, fourth and fifth were Radiology, Nuclear Medicine & Medical Imaging, Otorhinolaryngology, Biochemistry & Molecular Biology and Surgery, respectively (Table 7).

Distribution of first author

Six thousand six hundred and sixty-six research papers of nasopharyngeal carcinoma contained meeting abstracts, books, reprint and other types of literatures. This article only focused on the 5774 journal papers and reviews (24 articles with no author were deleted) to analysis the first author. The result showed that the number of the first author was 4114, distributing in 72 countries and regions in the world. The number of the first author publishing the most articles was 30 (Figure 2). The statistical parameters about the distribution of first author are shown in Table 8.

The calculation of n value:

n=(16*8.9637-13.8849*17.3027)/(16*14.2880-192.7902)=2.7033

The calculation of c value:

c=1/(3.5477^2.7033)+1/((2.7033-1)*20^(2.7033-1))+1/(2*20^2.7033)+2.7033/(24*(20-1)^(2.7033+1)))= 0.7854

Obtained:

y= 0.7854/x2.7

By KS test,

Dmax=0.0160553<1.36/sqrt(4114)=0.02120346<1.63/sqrt(4114)=0.02541297, this was fitted with the Lotkas law curve.

According to the Price's law: m = 0. 794 (Nmax) 0.5, where Nmax is the number of the most productive author publishing articles; m is the number of the lowest productive author in the core authors publishing articles. Then, m was 4.348917, we set m value to 5, this meant the author having 5 or more articles was the productive author in Nasopharyngeal Carcinoma field.


Table 5 The information about the type of published articles

Document type

Freq

Percentage

Article

4993

74.90

Meeting Abstract

586

8.79

Review

516

7.74

Article; Proceedings Paper

261

3.92

Letter

103

1.55

Editorial Material

96

1.44

Proceedings Paper

70

1.05

Correction

30

0.45

Review; Book Chapter

5

0.08

News Item

3

0.05

Article; Book Chapter

1

0.02

Biographical-Item

1

0.02

Reprint

1

0.02

 

Table 6 The literature distribution according to the language

Language

Freq

Percentage

English

6454

96.82

Chinese

84

1.26

French

62

0.93

German

41

0.62

Spanish

6

0.09

Italian

5

0.08

Japanese

5

0.08

Polish

4

0.06

Portuguese

2

0.03

Turkish

2

0.03

Icelandic

1

0.02

 

 

 

 

 

 

 

 

 



Table 7 The information of top 20 research area

Research areas

Freq

Percentage

Oncology

3037

45.56

Radiology, Nuclear Medicine & Medical Imaging

1088

16.32

Otorhinolaryngology

682

10.23

Biochemistry & Molecular Biology

555

8.33

Surgery

395

5.93

Cell Biology

343

5.15

Research & Experimental Medicine

340

5.1

Pathology

333

5

Virology

332

4.98

Pharmacology & Pharmacy

239

3.59

Genetics & Heredity

211

3.17

Immunology

207

3.11

General & Internal Medicine

167

2.51

Dentistry, Oral Surgery & Medicine

163

2.45

Biophysics

160

2.4

Neurosciences & Neurology

143

2.15

Hematology

138

2.07

Biotechnology & Applied Microbiology

137

2.06

Science & Technology - Other Topics

117

1.76

Chemistry

95

1.43

 

Table 8 The statistical parameters about the distribution of first author

x = papers

y = authors

y/y

(y/y)

Ef*

Ef

D

1

3297

0.80141

0.80141

0.785355

0.785355

0.016055

2

468

0.113758

0.915168

0.120586

0.905941

0.009227

3

166

0.04035

0.955518

0.040297

0.946237

0.00928

4

81

0.019689

0.975207

0.018515

0.964753

0.010454

5

40

0.009723

0.98493

0.010129

0.974881

0.010048

6

21

0.005105

0.990034

0.006187

0.981069

0.008965

7

15

0.003646

0.99368

0.004079

0.985147

0.008533

8

8

0.001945

0.995625

0.002843

0.98799

0.007634

9

6

0.001458

0.997083

0.002068

0.990058

0.007025

10

4

0.000972

0.998055

0.001555

0.991613

0.006442

11

2

0.000486

0.998542

0.001202

0.992815

0.005726

13

2

0.000486

0.999028

0.000765

0.99358

0.005447

14

1

0.000243

0.999271

0.000626

0.994207

0.005064

16

1

0.000243

0.999514

0.000437

0.994643

0.004871

22

1

0.000243

0.999757

0.000185

0.994828

0.004929

30

1

0.000243

1

7.98E-05

0.994907

0.005093

 


The number of the first author publishing 5 or more articles was 102, accounting for 2.48% of the total first authors, and published 719 articles, accounting for 12.45% of the total articles. The authors from Hong Kong, Taiwan and Peoples'Republic of China account for 71.22% of the first authors publishing 5 or more articles (Table 9.1, Table 9.2 and Table 10).

Distribution of correspondence author

Six thousand six hundred and sixty-six research papers of nasopharyngeal carcinoma contained meeting abstract, book, reprint and other types of literatures. This article only focused on the 5715 journal papers and reviews (62 without author were deleted) to analyze the correspondence author. The result showed that the number of the correspondence author was 3129, distributing in 79 countries and regions in the world. The number of the correspondence author publishing the most articles was 56 (Figure 3). Table 11 showed statistical parameters about the distribution of correspondence author. Table 12.1 and Table 12.2 showed the information of top10 reprint authors.


 

Table 9.1 The information about top10 first authors

First author

Organization

District

Freq

Percentage

Chua, DTT (Chua, Daniel T. T.)

University of Hong Kong

Hong Kong

30

0.52

Lee, AWM (Lee, Anne W. M.)

Pamela YoudeNethersole Eastern Hospital

Hong Kong

22

0.38

King, AD (King, Ann D.)

Chinese University of Hong Kong

Hong Kong

16

0.28

Chan, ATC (Chan, Anthony T. C.)

Chinese University of Hong Kong

Hong Kong

14

0.24

Chong, VFH (Chong, V. F. H.)

National University of Singapore

Singapore

13

0.23

Ma, BBY (Ma, Brigette B. Y.)

Chinese University of Hong Kong

Hong Kong

13

0.23

Lee, NY (Lee, Nancy Y.)

Memorial Sloan Kettering Cancer Center

USA

11

0.19

Lin, JC (Lin, Jin-Ching)

Taichung Veterans General Hospital

Taiwan

11

0.19

Ahuja, AT (Ahuja, AT)

Chinese University of Hong Kong

Hong Kong

10

0.17

Chang, KP (Chang, Kai-Ping)

Chang Gung Memorial Hospital

Taiwan

10

0.17

 

Table 9.2 The information about top10 districts of first authors

First author district

Freq

Percentage

Peoples R China

1183

20.49

USA

925

16.02

Hong Kong

655

11.34

Taiwan

582

10.08

Japan

275

4.76

Singapore

178

3.08

England

164

2.84

Germany

158

2.74

Canada

114

1.97

Italy

114

1.97

* This contained 14 articles without author district record.

 


The calculation of n value:

n=(31*16.0124-35.1223*23.0789)/(31*44.9502-1233.5784)=1.9652

The calculation of c value:

C = 1/(3.5477^1.9652)+1/((1.9652-1)*20^(1.9652-1))+1/(2*20^1.9652)+1.9652/(24*(20-1)^(1.9652+1)))=0.5957

Obtained:

Y = 0.5957/x1.9652

By KS test,

Dmax = 0.160809>1.63/sqrt (3199) = 0.0288191>1.36/sqrt (3199) = 0.02404539, this was not fitted with the Lotkas law curve.


 

Table 10 The information about districts of first authors*

First author district

Freq

Percentage

Hong Kong

253

35.19

Taiwan

134

18.64

Peoples R China

125

17.39

USA

49

6.82

Singapore

44

6.12

Japan

25

3.48

Tunisia

12

1.67

Canada

10

1.39

Italy

10

1.39

Netherlands

10

1.39

England

8

1.11

Greece

7

0.97

Turkey

7

0.97

Denmark

6

0.83

Belgium

5

0.7

Morocco

5

0.7

Indonesia

4

0.56

France

1

0.14

Saudi Arabia

1

0.14

Wales

1

0.14

No record

2

0.28

*: This contained 2 articles without author district record.

 

Table 11 Statistical parameters about the distribution of correspondence author

x = papers

y = authors

y/y

(y/y)

Ef*

Ef

D

1

2420

0.756486

0.756486

0.595677

0.595677

0.160809

2

376

0.117537

0.874023

0.152551

0.748229

0.125795

3

156

0.048765

0.922788

0.068763

0.816992

0.105797

4

75

0.023445

0.946233

0.039068

0.856059

0.090174

5

47

0.014692

0.960925

0.025198

0.881258

0.079668

6

26

0.008128

0.969053

0.01761

0.898868

0.070185

7

18

0.005627

0.97468

0.013007

0.911875

0.062805

8

18

0.005627

0.980306

0.010005

0.92188

0.058426

9

7

0.002188

0.982495

0.007938

0.929818

0.052677

10

4

0.00125

0.983745

0.006453

0.936271

0.047474

11

7

0.002188

0.985933

0.005351

0.941622

0.044311

12

7

0.002188

0.988121

0.00451

0.946132

0.041989

13

6

0.001876

0.989997

0.003853

0.949985

0.040012

14

1

0.000313

0.990309

0.003331

0.953316

0.036993

15

4

0.00125

0.99156

0.002909

0.956225

0.035335

16

2

0.000625

0.992185

0.002562

0.958787

0.033398

17

3

0.000938

0.993123

0.002275

0.961062

0.032061

18

2

0.000625

0.993748

0.002033

0.963095

0.030653

19

3

0.000938

0.994686

0.001828

0.964923

0.029763

20

1

0.000313

0.994998

0.001653

0.966575

0.028423

21

2

0.000625

0.995624

0.001502

0.968077

0.027547

22

2

0.000625

0.996249

0.00137

0.969447

0.026802

24

2

0.000625

0.996874

0.001155

0.970602

0.026272

25

3

0.000938

0.997812

0.001066

0.971668

0.026144

30

1

0.000313

0.998124

0.000745

0.972413

0.025711

36

1

0.000313

0.998437

0.000521

0.972934

0.025503

37

1

0.000313

0.99875

0.000493

0.973427

0.025323

41

1

0.000313

0.999062

0.000403

0.97383

0.025232

42

1

0.000313

0.999375

0.000385

0.974215

0.02516

51

1

0.000313

0.999687

0.000263

0.974477

0.02521

56

1

0.000313

1

0.000218

0.974696

0.025304

 


Distribution by h-index

According to the literature of the first author, a total of 423 people have at least one literature cited not less than once. Among them, the highest h-index is 15, with an average of 1.571.35 (Table 13.1 and Table 13.2).

According to the literature of the corresponding author, a total of 357 people have at least one literature cited not less than once. Among them, the highest h-index is 25, with an average of 2.012.58 (Table 14.1 and Table 14.2).

Distribution by funding

In 6666 Nasopharyngeal Carcinoma articles, 1515 obtained funding, accounting for 22.72%, and the average of each literature obtained 2.42 project funding (Table 15). Classification and statistics according to the district of the correspondence author, 48 countries and regions obtained funding (Table 16). Among which the Peoples'Republic of China literatures obtaining funding was the most, a total of 629 literatures obtained funding, accounting for 41.57% of the total literatures obtaining funding (Table 17).


 

 


Table 12.1 The information of top10 reprint authors

Reprint author

Organization

District

Freq

Percentage

Li, GY (Li, Gui-Yuan)

Central South University

Peoples R China

56

0.98

Zeng, YX (Zeng, Yi-Xin)

Sun Yat Sen University

Peoples R China

51

0.89

Cao, Y (Cao, Ya)

Central South University

Peoples R China

42

0.73

Raab-Traub, N (Raab-Traub, Nancy)

University of North Carolina Chapel Hill

USA

41

0.72

Chan, ATC (Chan, Anthony Tak-Cheung)

Chinese University of Hong Kong

Hong Kong

37

0.65

Liu, FF (Liu, Fei-Fei)

University of Toronto

Canada

36

0.63

Lung, ML (Lung, Maria Li)

University of Hong Kong

Hong Kong

30

0.52

Chua, DTT (Chua, Daniel T. T.)

University of Hong Kong

Hong Kong

25

0.44

Lo, YMD (Lo, Y. M. Dennis)

Chinese University of Hong Kong

Hong Kong

25

0.44

Yao, KT (Yao, Kai-Tai)

Southern Medical University - China

Peoples R China

25

0.44

 

Table 12.2 The information of top10 districts of reprint authors

Reprint author district

Freq

Percentage

Peoples R China

1236

21.63

USA

935

16.36

Hong Kong

660

11.55

Taiwan

631

11.04

Japan

272

4.76

Singapore

191

3.34

England

175

3.06

Germany

157

2.75

Italy

141

2.47

France

134

2.34

 


Discussion

1) Nasopharyngeal carcinoma has gradually become a mature subject, needing special journals to publish abundant outcomes of studies in this area, which continues to promoting the development of scientific researches of nasopharyngeal carcinoma.

Based on our analysis, the number of literatures from 1999 to 2012 presented the exponential and linear growth pattern, and is quite similar with the second and third periods of science and technology journal growth process. When in the second period, the professional theory develops rapidly, the number of the literatures increases dramatically and gradually enters into a relatively stable exponential growth phase. In the third period, with the increasingly mature of the subject, the literature growth slows down, and gradually evolves into a linear growth phase, maintaining a stable increment of literature.

According to the increase of nasopharyngeal carcinoma article and linear and exponential curve fitting situation, the current nasopharyngeal carcinoma article is in the second, third periods of article growth, which means the number of article is double every 4 years or increases by 481 papers annually.


 

Table 13.1 H-index of first authors

 

n

mean

   sd

min

q25

q50

q75

max

h-index

423

1.572104

1.357401

1

1

1

2

15

 

Table 13.2 Top10 h-index of first authors

First author

h-index

district

Lee, AWM (Lee, Anne W. M.)

15

Hong Kong

Lin, JC (Lin, Jin-Ching)

10

Taiwan

Ma, BBY (Ma, Brigette B. Y.)

10

Hong Kong

Ahuja, AT (Ahuja, AT)

8

Hong Kong

Hao, SP (Hao, Sheng-Po)

6

Taiwan

Leung, TW (Leung, To-Wai)

6

Hong Kong

Lu, CC (Lu, Chih-Chung)

6

Taiwan

Qian, CN (Qian, Chao-Nan)

6

USA

Tsai, MH (Tsai, MH)

6

Taiwan

Yoshizaki, T (Yoshizaki, Tomnokazu)

6

Japan

 

Table 14.1 H-index of reprint authors

 

n

mean

sd

min

q25

q50

q75

max

h-index

357

2.005602

2.576901

1

1

1

2

25

 

Table 14.2 Top10 h-index of reprint authors

Reprint author

h-index

district

Raab-Traub, N (Raab-Traub, Nancy)

25

USA

Zeng, YX (Zeng, Yi-Xin)

19

Peoples R China

Li, GY (Li, Gui-Yuan)

16

Peoples R China

Lee, AWM (Lee, Anne W. M.)

15

Hong Kong

Lo, KW (Lo, Kwok-Wai)

14

Hong Kong

King, AD (King, Ann D.)

12

Hong Kong

Young, LS (Young, Lawrence S.)

12

England

Zhang, L (Zhang, Lin)

10

Peoples R China

Ma, BBY (Ma, Brigette B. Y.)

9

Hong Kong

Yao, KT (Yao, Kai-Tai)

9

Peoples R China

 

Table 15 The funding number of papers

 

Mean

Std

Median

Min

Max

Funding number

2.422442

1.627788

2

1

12

 

Table 16 The information of top10 district of funding

Reprint district

freq

percentage

Peoples R China

629

41.57

USA

176

11.63

Taiwan

168

11.1

Hong Kong

134

8.86

Japan

38

2.51

Canada

34

2.25

England

30

1.98

Netherlands

28

1.85

Malaysia

23

1.52

Italy

22

1.45

 

Table 17 The distribution of funding by year in top 5 district

Publised year

Peoples R China

USA

Taiwan

Hong Kong

Japan

2006

-

-

-

1

-

2007

1

1

-

-

-

2008

27

10

13

10

2

2009

90

41

37

17

7

2010

119

42

35

35

10

2011

155

40

43

31

7

2012

237

42

40

40

12

 


The impact factor of core journals based on Bradfords Law ranges from 1.979 to 18.038, of which the published papers account for 24.50% of the total articles, suggesting the quality of nasopharyngeal carcinoma articles has been in a relatively high level.

The literature research areas, currently, are as many as 89 types, among which, the Oncology is the dominant, possessing 3037 papers, accounting for 45.56% of the total articles. The research direction not only has breadth, but also has depth.



Figure 3. The distribution of correspondence author

 


In the aspect of author distribution, the first author distributed in 72 countries and regions in worldwide; the correspondence author distributed in 79 countries and regions around the world. The nasopharyngeal carcinoma research has spread all over the world.

The above data show that, with the continuous development of the nasopharyngeal carcinoma research in the word, a large number of scientific research achievements need special journals to bear. Academics need such a platform; full discussion and a certain degree of thought collision consensus will promote the development of this subject, especially in SCI, the well-known global search data platform.

2) The nasopharyngeal carcinoma research mainly focuses on China, so running journals in China will promote a better development of this subject.

On the one hand, in respect of the distribution of the first and correspondence authors, the nasopharyngeal carcinoma researchers mainly concentrate in China including Hong Kong and Taiwan. The number of the first author in China publishing nasopharyngeal carcinoma related articles accounts for 41.91% of the totality; the number of the correspondence author in China accounts for 44.22% of the totality. Additionally, the productive first author is also mainly in China, accounting for 71.22% of the total productive authors. The first author and corresponding author with high academic influence are mainly distributed in China (h-index top ten accounts for eight).

On the other hand, the number of Chinese correspondence authors obtaining funding accounts for 61.53% of the financial aid articles, which is much more than other countries and regions. There is an important relationship with a large number of science and technology project investments of Chinese areas in recent years. On this background, it directly or indirectly promotes the prosperity development of related research in Chinese areas.

To run professional journals of nasopharyngeal carcinoma in China can be more conducive to timely contact authors and obtain the latest research progress. Ultimately, it can timely publish the Chinese research achievements world widely, and to promote the development of this subject.

3) Limitation of the study

(1) This retrieval was made only by the subject words Nasopharyngeal Carcinoma, not contained any other Nasopharyngeal Carcinoma related keywords, the search results may exist deviation.

(2) Due to author name may be not unique in the SCI database, the disunity of author name, author name inputting error and correction error in the process of data collection, the statistical result deviation may exist in the analysis of number of author articles, author area and so on.

(3) Because of the time-lag effect of the SCI database, there was a big difference between the retrieved and the practical articles of 2013. Hence, this study did not include the data of 2013.

 

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