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Journal of Scientific Information Research

Keywords

Author-Journal Balance Ratio index, potential publishing stickiness, disproportionate reporting ratio, journal acceptance preferences, signal detection, academic journal, academic evaluation

Abstract

[Purpose/significance] To overcome the limitations of traditional, label-dependent evaluation indicators in identifying journal acceptance preferences, this article aims to construct a novel label-free quantitative detection paradigm to more comprehensively and objectively reveal potential publishing stickiness between authors and journals. [Method/process] By introducing disproportionality measurement methods from the field of pharmacovigilance, we proposed the Author-Journal Balance Ratio index, applied it to 86 law journals to measure the potential publishing stickiness between authors and journals, and analyzed the 5 060 identified potential publishing stickiness signals. [Result/conclusion] The results show that the Author-Journal Balance Ratio index is effective at identifying relationships driven by traditional factors like institutional affiliation and editorial board membership. More importantly, it demonstrates a distinct advantage in revealing more subtle, deeper potential publishing stickiness that goes beyond such a priori labels. The Author-Journal Balance Ratio index provides a novel tool and perspective for understanding and improving the academic publishing environment. Future research will explore its applicability in other disciplines and comprehensively evaluate the academic impact of author-journal stickiness.

First Page

44

Last Page

53

Submission Date

2-Sep-2025

Revision Date

10-Dec-2025

Acceptance Date

4-Jan-2026

Published Date

1-Jul-2026

Reference

[1] ROSENBLUM S，ST.CLAIR R L，ISETT K R，et al.Publishing while editor：Transparency and behaviour in public administration journals[J].Australian Journal of Public Administration，2020，79（4）：407-425.

[2] LIU F Y，HOLME P，CHIESA M，et al.Gender inequality and self-publication are common among academic editors[J].Nature Human Behaviour，2023，7（3）：353-364.

[3] RADUN I. Nonfinancial conflict of interest in peer-review：Some notes for discussion[J].Accountability in Research， 2023，30（6）：331-342.

[4] ZDENĚK R，LOSOSOVÁ J.An analysis of editorial board members’publication output in agricultural economics and policy journals[J].Scientometrics，2018，117： 563-578.

[5] KWIEK M.The prestige economy of higher education journals：A quantitative approach[J].Higher Education，2021，81（3）：493-519.

[6] 苏金燕.我国人文社会科学期刊发文现象研究：以马克思主义理论学科期刊为例[J].社会科学论坛，2017（6）：215-230.

[7] 郭峰，李欣.编辑部偏爱、关系稿与引用率贴水：来自中国经济学权威期刊的证据[J].经济学（季刊），2017，16（4）：1237-1260.

[8] MEDOFF M H.Editorial favoritism in economics?[J].Southern Economic Journal，2003，70（2）：425-434.

[9] LUTMAR C，REINGEWERTZ Y.Academic in-group bias in the top five economics journals[J].Scientometrics，2021，126（12）：9543-9556.

[10] HELGESSON G，RADUN I，RADUN J，et al.Editors publishing in their own journals：A systematic review of prevalence and a discussion of normative aspects[J].Learned Publishing，2022，35（2）：229-240.

[11] 余芊芊，尹逸贤，张光耀，等.我国学术期刊存在编委效应吗：基于管理学期刊的实证研究[J].中国科技期刊研究，2024，35（5）：649-657.

[12] 陈力勤.师范大学学报编委的发文分析与思考[J].中国科技期刊研究，2013，24（2）：325-329.

[13] SEN-CROWE B，SUTERLAND M，SHIR A，et al.Variations in surgical peer-reviewed publications among editorial board members，associate editors and their respective journal：Towards maintaining academic integrity[J].Annals of Medicine and Surgery，2020，60：140-145.

[14] XU S，AN M J，AN X.Do scientific publications by editorial board members have shorter publication delays and then higher influence?[J].Scientometrics，2021，126（8）：6697-6713.

[15] 罗宝章，钱轶峰，叶小飞，等.药物不良反应信号检测方法的现状与展望[J].药学服务与研究，2009，9（4）：255-260.

[16] 余宏秀，陈瑞祥，杨用成，等.基于FAERS和JADER的伏诺拉生不良事件数据挖掘与分析[J].中国医院药学杂志，2024，44（21）：2512-2516，2522.

[17] 刘宇.基于数据挖掘技术的广东省2005-2016年预防接种异常反应分析[D].广州：南方医科大学，2019.

[18] LIU L Y.A real-world data analysis of tirzepatide in the FDA adverse event reporting system （FAERS） database[J].Frontiers in Pharmacology，2024，15：1397029.

[19] HE W Z，WANG Y，CHEN K Q.A real-world pharmacovigilance study of FDA adverse event reporting system events for diazepam[J].Frontiers in Pharmacology，2024，15：1278442.

[20] STRICKER B H，TIJSSEN J G.Serum sickness-like reactions to cefaclor[J].Journal of Clinical Epidemiology，1992，45（10）：1177-1184.

[21] EVANS S J W，WALLER P C，DAVIS S.Use of proportional reporting ratios （PRRs） for signal generation from spontaneous adverse drug reaction reports[J].Pharmacoepidemiology and Drug Safety，2001，10（6）：483-486.

[22] DUMOUCHEL W.Bayesian data mining in large frequency tables，with an application to the FDA spontaneous reporting system[J].The American Statistician，1999，53（3）：177-190.

[23] BATE A，LINDQUIST M，EDWARDS I R，et al.A Bayesian neural network method for adverse drug reaction signal generation[J].European Journal of Clinical Pharmacology，1998，54（4）：315-321.

Digital Object Identifier (DOI)

10.19809/j.cnki.kjqbyj.2026.03.005

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