Please wait a minute...
Data Analysis and Knowledge Discovery  2022, Vol. 6 Issue (12): 43-52    DOI: 10.11925/infotech.2096-3467.2021.1346
Current Issue | Archive | Adv Search |
Influence of JIF and Journal Tier on Submission Behaviors in Different Countries——Based on Monthly Accepted Papers of NPG Journals
Li Li1,2,Liao Yu1,2,Yang Ming3,Wang Minhao4,Chen Fuyou1,Shen Zhesi1(),Yang Liying1,2
1National Science Library, Chinese Academy of Sciences, Beijing 100190, China
2Department of Library, Information and Archives Management, School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190, China
3Bureau of Development and Planning, Chinese Academy of Sciences, Beijing 100864, China
4Beijing Wuzi University, Beijing 101149, China
Download: PDF (826 KB)   HTML ( 8
Export: BibTeX | EndNote (RIS)      
Abstract  

[Objective] This paper mesasures the influence of Journal Impact Factor (JIF) and journal tier for scholars’ manuscript submission behaviors in different regions. [Methods] First, we collected a journal’s monthly aceptance record and its JIF from Nature Publishing Group (NPG). Then, we examined the submission behaviors with panel negative binomial regression against two journal ranking systems (JCR Quartiles and CAS journal ranking). [Results] JIF has a negative effect on the number of papers submitted by scholars from the United States, Germany, and Japan, i.e., the number of these papers decreases while the JIF increases. In contrast, the journal’s ranking in JCR had a positive effect on the number of accepted papers from all countries. The CAS journal ranking has a positive effect on the number of accepted submissions from China. After excluding the influence of international collaboration, there are still positive effects. The impact of the CAS journal ranking (27.2%) is much more significant than that of JCR journal partition table (3.7%). [Limitations] We can only access the authors’ data of accepted/published papers from WoS journals of NPG rather than the completed submission records. [Conclusions] The submission behaviors of scholars are influenced by their country of residence, independent research, and different journal ranking systems. The findings of this paper will enrich the study of factors influencing scholars’ submission behaviors across countries.

Key wordsJournal Impact Factor      Journal Tier      Submission Behavior      International Collaboration     
Received: 28 November 2021      Published: 03 February 2023
ZTFLH:  G350  
Fund:High-level Talent Cross-training Program for Beijing Colleges and Universities
Corresponding Authors: Shen Zhesi,ORCID:0000-0001-8414-7912     E-mail: shenzhs@mail.las.ac.cn

Cite this article:

Li Li, Liao Yu, Yang Ming, Wang Minhao, Chen Fuyou, Shen Zhesi, Yang Liying. Influence of JIF and Journal Tier on Submission Behaviors in Different Countries——Based on Monthly Accepted Papers of NPG Journals. Data Analysis and Knowledge Discovery, 2022, 6(12): 43-52.

URL:

https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.2096-3467.2021.1346     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2022/V6/I12/43

变量 变量定义 变量说明
Journal_Abb_new 期刊名 NPG被WoS收录的期刊
time 学者的投稿时间 学者投稿时间的年、月(2015年1月-2020年12月)
Num_Paper_All 目标国家指定月指定期刊的已录用投稿论文数/篇 x
Num_Paper_W_All 全球指定月指定期刊的已录用投稿论文数/篇 X
Num_Paper_Sin 目标国家指定月指定期刊的自主研究已录用投稿论文数/篇 y
Num_Paper_W_Sin 全球指定月指定期刊的自主研究已录用投稿论文数/篇 Y
JIF 期刊影响因子 Journal Impact Factor
Quartile 科睿唯安JCR的期刊分区 JCR期刊分区,取值为1~4,1代表最好,4代表最差
IFavg 期刊的三年平均影响因子 期刊的三年平均影响因子,IFavg也是中科院期刊分区表基础版的指标之一
Class 中科院期刊分区表的期刊分区 中科院期刊分区表的期刊分区,取值为1~4,1代表最好,4代表最差
Issues 期刊发行的期数 期刊发行的期数
Rec_Acc_med 指定期刊指定月论文从投稿到录稿时间的中位数/天 Received_Accepted_median
OA_new 是否为开放获取期刊 若为开放获取期刊,取值为1,否则为0
Main Variables and Description
Data Acquisition Methods
序号 国家 论文数 占比/%
1 美国 82 205 36.3
2 中国 52 270 23.1
3 英国 29 257 12.9
4 德国 25 932 11.5
5 日本 20 287 9.0
6 法国 15 419 6.8
7 加拿大 12 049 5.3
8 澳大利亚 12 009 5.3
9 意大利 11 952 5.3
10 韩国 11 709 5.2
Accepted Submitted Papers Contributed by Scholars from Top10 Countries in NPG from 2015 to 2020
变量名称 样本数 最小值 中位数 最大值 均值 方差 偏度 峰度
Num_Paper_All 65 769 1 1 848 5.7 637.8 15.3 318.5
Num_Paper_Sin 65 769 0 0 573 1.9 164.8 21.5 640.1
Num_Paper_W_All 65 769 1 18 2 473 202.3 251 256.6 2.8 9.7
Num_Paper_W_Sin 65 769 0 10 1 546 121.3 99 967.0 2.9 10.0
Rec_Acc_med 65 769 44 140 288 146.3 1 601.8 0.1 2.6
JIF 65 769 1 8 61 12.2 129.1 1.5 4.3
Quartile 65 769 1 1 4 1.2 0.2 3.0 12.8
IFavg 65 769 0 7 50 11.7 122.5 1.5 4.1
Class 65 769 1 1 4 1.7 0.8 0.8 2.6
OA_new 65 690 0 0 1 0.3 0.2 0.9 1.9
Issues 65 769 0 12 365 13.5 615.6 11.4 159.0
Descriptive Statistics for Main Variables
变量 美国 中国 英国 德国 日本 法国 韩国
JIF -0.024***
(0.00)
0.007
(0.00)
-0.007
(0.00)
-0.024***
(0.01)
-0.013**
(0.01)
-0.017***
(0.01)
-0.010
(0.01)
Quartile -0.142***
(0.04)
-0.088**
(0.04)
-0.084
(0.05)
-0.144**
(0.07)
-0.116**
(0.05)
-0.219***
(0.07)
-0.176**
(0.09)
Rec_Acc_med -0.000
(0.00)
0.001
(0.00)
-0.001
(0.00)
-0.000
(0.00)
0.001
(0.00)
0.002*
(0.00)
0.001
(0.00)
Num_Paper_W_All 0.001***
(0.00)
0.001***
(0.00)
0.001***
(0.00)
0.001***
(0.00)
0.001***
(0.00)
0.001***
(0.00)
0.001***
(0.00)
Issues -0.000
(0.00)
-0.002***
(0.00)
-0.001
(0.00)
-0.001
(0.00)
0.001
(0.00)
-0.002**
(0.00)
-0.001
(0.00)
OA_new -0.039
(0.11)
-1.107***
(0.12)
-0.130
(0.16)
-0.390**
(0.19)
0.227
(0.18)
0.127
(0.20)
0.145
(0.10)
Constant 3.255***
(0.13)
2.626***
(0.16)
3.470***
(0.21)
4.046***
(0.26)
3.764***
(0.27)
4.297***
(0.38)
3.668***
(0.33)
样本数 4 618 3 812 3 337 3 143 2 602 2 516 1 660
期刊数 83 83 82 82 83 81 80
Log Likehood -11 600.0 -8 077.0 -6 620.2 -5 926.5 -4 525.7 -4 329.7 -2 726.8
Wald chi2 845.4*** 169.3*** 598.7*** 553.2*** 387.9*** 566.6*** 312.5***
The Regression Results for the Number of All Accepted Papers across Countries Based on JCR
变量 美国 中国 英国 德国 日本 法国 韩国
JIF -0.020***
(0.00)
0.011
(0.01)
-0.006
(0.01)
-0.020**
(0.01)
-0.052***
(0.01)
-0.034***
(0.01)
-0.059***
(0.01)
Quartile -0.142**
(0.06)
-0.038
(0.05)
-0.065
(0.09)
-0.176
(0.11)
-0.133**
(0.06)
0.000
(0.12)
-0.225**
(0.11)
Rec_Acc_med -0.001
(0.00)
-0.002*
(0.00)
-0.003**
(0.00)
-0.000
(0.00)
0.000
(0.00)
0.001
(0.00)
-0.001
(0.00)
Num_Paper_W_Sin 0.001***
(0.00)
0.001***
(0.00)
0.001***
(0.00)
0.001***
(0.00)
0.001***
(0.00)
0.001***
(0.00)
0.001***
(0.00)
Issues 0.000
(0.00)
-0.005***
(0.00)
0.001
(0.00)
0.000
(0.00)
0.003*
(0.00)
-0.002
(0.00)
0.001
(0.00)
OA_new 0.119
(0.15)
-0.864***
(0.14)
0.523**
(0.24)
0.494**
(0.21)
0.607***
(0.22)
0.490**
(0.22)
0.197*
(0.12)
Constant 3.100***
(0.18)
2.325***
(0.20)
2.645***
(0.33)
2.468***
(0.39)
3.360***
(0.32)
2.647***
(0.52)
3.295***
(0.37)
样本数 4 618 3 812 3 337 3 143 2 602 2 516 1 660
期刊数 83 83 82 82 83 81 80
Log Likehood -9 064.9 -6 158.3 -3 618.7 -3 224.5 -3 381.2 -2 337.6 -2 034.1
Wald chi2 389.8*** 118.2*** 249.8*** 212.9*** 282.5*** 203.9*** 191.6***
The Regression Results for the Number of Independent Accepted Papers across Countries Based on JCR
变量 所有论文 自主研究论文
IFavg -0.009*
(0.00)
-0.023**
(0.01)
Class -0.276***
(0.03)
-0.317***
(0.04)
Rec_Acc_med 0.001
(0.00)
-0.003**
(0.00)
Num_Paper_W_All / Num_Paper_W_Sin 0.001***
(0.00)
0.001***
(0.00)
Issues -0.001
(0.00)
-0.002*
(0.00)
OA_new -1.131***
(0.13)
-0.813***
(0.15)
Constant 3.303***
(0.18)
3.252***
(0.22)
样本数 3 698 3 698
期刊数 78 78
Log Likehood -7 833.6 -5 995.8
Wald chi2 322.8*** 243.5***
The Regression Results for the Number of All / Independent Accepted Papers from China Based on CAS Journal Ranking
[1] Zeng A, Shen Z S, Zhou J L, et al. The Science of Science: From the Perspective of Complex Systems[J]. Physics Reports, 2017, 714-715: 1-73.
[2] Fortunato S, Bergstrom C T, Börner K, et al. Science of Science[J]. Science, 2018, 359(6379). DOI: 10.1126/science.aao0185.
doi: 10.1126/science.aao0185
[3] Zeng A, Shen Z S, Zhou J L, et al. Increasing Trend of Scientists to Switch Between Topics[J]. Nature Communications, 2019, 10: 3439.
doi: 10.1038/s41467-019-11401-8 pmid: 31366884
[4] Meng L, Wang H F, Han P F. Getting a Head Start: Turn-of-the-Month Submission Effect for Accepted Papers in Management Journals[J]. Scientometrics, 2020, 124(3): 2577-2595.
doi: 10.1007/s11192-020-03556-9
[5] Gaston T E, Ounsworth F, Senders T, et al. Factors Affecting Journal Submission Numbers: Impact Factor and Peer Review Reputation[J]. Learned Publishing, 2020, 33(2): 154-162.
doi: 10.1002/leap.1285
[6] Wang X W, Xu S M, Peng L, et al. Exploring Scientists’ Working Timetable: Do Scientists often Work Overtime?[J]. Journal of Informetrics, 2012, 6(4): 655-660.
doi: 10.1016/j.joi.2012.07.003
[7] Wang X W, Peng L, Zhang C B, et al. Exploring Scientists’ Working Timetable: A Global Survey[J]. Journal of Informetrics, 2013, 7(3): 665-675.
doi: 10.1016/j.joi.2013.04.003
[8] Czaika M, Orazbayev S. The Globalisation of Scientific Mobility, 1970-2014[J]. Applied Geography, 2018, 96: 1-10.
doi: 10.1016/j.apgeog.2018.04.017
[9] Ausloos M, Nedič O, Dekanski A. Correlations Between Submission and Acceptance of Papers in Peer Review Journals[J]. Scientometrics, 2019, 119(1): 279-302.
doi: 10.1007/s11192-019-03026-x
[10] Sweedler J V. Strange Advice for Authors: Submit Your Manuscript with a Short Title on a Weekday[J]. Analytical Chemistry, 2020, 92(3): 2351-2352.
doi: 10.1021/acs.analchem.0c00223 pmid: 31985199
[11] Søreide K, Winter D C. Global Survey of Factors Influencing Choice of Surgical Journal for Manuscript Submission[J]. Surgery, 2010, 147(4): 475-480.
doi: 10.1016/j.surg.2009.10.042
[12] 夏登武. 影响作者投稿动机的因素分析[J]. 编辑学报, 2008, 20(1): 5-7.
[12] (Xia Dengwu. Analysis on Factors Influencing Contributors’ Motivations[J]. Acta Editologica, 2008, 20(1): 5-7.)
[13] Pepermans G, Rousseau S. The Decision to Submit to a Journal: Another Example of a Valence‐Consistent Shift?[J]. Journal of the Association for Information Science and Technology, 2016, 67(6): 1372-1383.
doi: 10.1002/asi.23491
[14] 刘建滔, 陈智平, 邓丽琼, 等. 生物医学期刊作者投稿行为的影响因素[J]. 编辑学报, 2008, 20(3): 245-246.
[14] (Liu Jiantao, Chen Zhiping, Deng Liqiong, et al. Factors Influencing the Contribution Behaviors of Biomedical Journal Authors[J]. Acta Editologica, 2008, 20(3): 245-246.)
[15] Edie A H, Conklin J L. Avoiding Predatory Journals: Quick Peer Review Processes too Good to be True[J]. Nursing Forum, 2019, 54(3): 336-339.
doi: 10.1111/nuf.12333
[16] Daily C. Canadian Researchers’ Publishing Attitudes and Behaviours[R]. A Phase 5 Report for Canadian Science Publishing, 2014: 1-34.
[17] Schroter S, Tite L. Open Access Publishing and Author-Pays Business Models: A Survey of Authors’ Knowledge and Perceptions[J]. Journal of the Royal Society of Medicine, 2006, 99(3): 141-148.
doi: 10.1177/014107680609900316 pmid: 16508053
[18] Neville T, Crampsie C. From Journal Selection to Open Access: Practices among Academic Librarian Scholars[J]. Portal: Libraries and the Academy, 2019, 19(4): 591-613.
doi: 10.1353/pla.2019.0037
[19] Vogel G. Open Access Gains Support; Fees and Journal Quality Deter Submissions[J]. Science, 2011, 331(6015): 273.
doi: 10.1126/science.331.6015.273-a
[20] 陈强. 高级计量经济学及Stata应用[M]. 第2版. 北京: 高等教育出版社, 2014: 304-333.
[20] (Chen Qiang. Advanced Econometrics and Stata Applications[M]. The 2nd Edition. Beijing: Higher Education Press, 2014: 304-333.)
[21] McGillivray B, de Ranieri E. Uptake and Outcome of Manuscripts in Nature Journals by Review Model and Author Characteristics[J]. Research Integrity and Peer Review, 2018, 3: 5.
doi: 10.1186/s41073-018-0049-z pmid: 30140448
[22] Coccia M, Wang L L. Evolution and Convergence of the Patterns of International Scientific Collaboration[J]. PNAS, 2016, 113(8): 2057-2061.
doi: 10.1073/pnas.1510820113 pmid: 26831098
[23] Gui Q C, Liu C L, Du D B. Globalization of Science and International Scientific Collaboration: A Network Perspective[J]. Geoforum, 2019, 105: 1-12.
doi: 10.1016/j.geoforum.2019.06.017
[24] 刘强, 陈云伟, 张志强. 用于科技评价的挪威模型方法与应用综述[J]. 数据分析与知识发现, 2019, 3(5): 41-50.
[24] (Liu Qiang, Chen Yunwei, Zhang Zhiqiang. Methods and Applications of Norwegian Model for Science and Technology Evaluation[J]. Data Analysis and Knowledge Discovery, 2019, 3(5): 41-50.)
[25] Quan W, Chen B K, Shu F. Publish or Impoverish: An Investigation of the Monetary Reward System of Science in China (1999-2016)[J]. Aslib Journal of Information Management, 2017, 69(5): 486-502.
doi: 10.1108/AJIM-01-2017-0014
[26] McKiernan E C, Schimanski L A, Muñoz N C, et al. Use of the Journal Impact Factor in Academic Review, Promotion, and Tenure Evaluations[J]. eLife, 2019, 8: e47338.
doi: 10.7554/eLife.47338
[1] Liu Yang, Ma Lili, Zhang Wen, Hu Zhongyi, Wu Jiang. Detecting Sarcasm from Travel Reviews Based on Cross-Modal Deep Learning[J]. 数据分析与知识发现, 2022, 6(12): 23-31.
[2] Qi Xiaoying, Li Xinwei, Yang Haiping. Citation Characteristics of Scholarly Articles on South China Sea Based on Intentions and Sentiments[J]. 数据分析与知识发现, 2022, 6(12): 53-69.
[3] Cui Ji, Zhang Jinpeng, Bao Zhou, Ding Shengchun. Forecasting Developments of Core Topics in Science and Technology with Trend Analysis[J]. 数据分析与知识发现, 2022, 6(9): 1-13.
[4] Zhao Ruijie, Tong Xinyu, Liu Xiaohua, Lu Yonghe. Entity Recognition and Labeling for Medical Literature Based on Neural Network[J]. 数据分析与知识发现, 2022, 6(9): 100-112.
[5] Lyu Haihua, Li Jiang. Review of “Obliteration by Incorporation” in Knowledge Diffusion[J]. 数据分析与知识发现, 2022, 6(8): 12-19.
[6] Zhang Jinzhu, Wang Qiuyue, Qiu Mengmeng. Review of Studies Identifying Disruptive Technologies[J]. 数据分析与知识发现, 2022, 6(7): 12-31.
[7] Chen Shiji, Cui Tengteng, Qiu Junping. Review of Studies Analyzing Interdisciplinary Dynamics[J]. 数据分析与知识发现, 2022, 6(5): 1-9.
[8] Chen Guo, Ye Chao. News Classification with Semi-Supervised and Active Learning[J]. 数据分析与知识发现, 2022, 6(4): 28-38.
[9] Wang Ruojia, Yan Chengxi, Guo Fengying, Wang Jimin. Predicting Churners of Online Health Communities Based on the User Persona[J]. 数据分析与知识发现, 2022, 6(2/3): 80-92.
[10] Tong Xinyu, Zhao Ruijie, Lu Yonghe. Multi-label Patent Classification with Pre-training Model[J]. 数据分析与知识发现, 2022, 6(2/3): 129-137.
[11] Zhang Jinzhu, Han Yongliang. Predicting Values of Technology Convergence with Multi-Feature Fusion[J]. 数据分析与知识发现, 2022, 6(2/3): 33-44.
[12] Qian Danmin, Zeng Tingting, Chang Shiyi. Research on User Roles Based on OHCs-UP in Public Health Emergencies[J]. 数据分析与知识发现, 2022, 6(2/3): 93-104.
[13] Cao Guang, Shen Lining. Modelling and Simulating Medical Crowdfunding with SEIR[J]. 数据分析与知识发现, 2022, 6(1): 80-90.
[14] Han Fang, Zhang Shengtai, Feng Lingzi, Yuan Junpeng. Identifying Breakthrough Patent Topics by Measuring Technological Convergence——Case Study of Solar PV Domain[J]. 数据分析与知识发现, 2021, 5(12): 137-147.
[15] Li Xiao, Qu Jiansheng. Review of Application and Evolution of Meta-Analysis in Social Sciences[J]. 数据分析与知识发现, 2021, 5(11): 1-12.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626,82624938   E-mail:jishu@mail.las.ac.cn