Baishideng’s Reference Citation Analysis database announces the first Journal Article Influence Index of 101 core journals and a list of high-quality academic journals in gastroenterology and hepatology

After three rounds of rigorous evaluation of core journals in gastroenterology andhepatology conducted by the Reference Citation Analysis (RCA) editorial team ofBaishideng Publishing Group (Baishideng), the RCA database of Baishidengofficially released the 2022 Journal Article Influence Index (2022 JAII) of 101 corejournals in gastroenterology and hepatology, for the first time. The list of 101 corejournals can be found at: https://www.referencecitationanalysis.com/Search-Journal. Among them, the highest 2022 JAII is 48.014 and the lowest is 3.900. Thisarticle highlights the top 20 journals, describes the calculation method for the 2022JAII, the evaluation process, and the inclusion principles for journals in the RCA.These steps are the underpinning of the RCA’s empirical journal academicevaluation service by which the digital platform addresses the needs of authors toselect reliable journals for submission, readers to select high-quality literature forreading, and editors to track their own journal citation performance. As such, theRCA core journal list will serve as a useful Find-a-Journal tool. Any interestedparty is welcome to use this journal list and recommend it to their peers.

Baishideng’s Reference Citation Analysis database announces the first Journal Article Influence Index of 104 core journals and a list of high-quality academic journals in orthopedics

After three rounds of rigorous evaluation of core journals in orthopedics conducted by the Reference Citation Analysis(RCA)editorial team of Baishideng Publishing Group(Baishideng),the RCA database of Baishideng officially released the 2022 Journal Article Influence Index(2022 JAII)of 104 core journals and a list of high-quality academic journals in orthopedics,for the first time on August 9,2022.The list of 104 core journals can be found at:https://www.referencecitationanalysis.com/SearchJournal.Among them,the highest 2022 JAII is 55.015 and the lowest is 3.076.This article introduces the 21 high-quality academic journals and describes the calculation method for the 2022 JAII,the evaluation process,and the inclusion principles for journals in the RCA.These steps are the underpinning of the RCA’s empirical journal academic evaluation service by which the digital platform addresses the needs of authors to select reliable journals for submission,readers to select high-quality literature for reading,and editors to track their own journal citation performance.As such,the RCA core journal list will serve as a useful Find-a-Journal tool.Any interested party is welcome to use this journal list and recommend it to their peers.

Comparison of evaluation indexes for Gastroenterology and Hepatology journals in different databases

BACKGROUND Accurate assessment of the quality of academic journals is of great significance.While Journal Impact Factor(JIF),calculated by Clarivate and based upon the Web of Science literature database,and CiteScore(CS),developed by Elseiver and based upon the Scopus database,have enjoyed high uptake worldwide,efforts continue towards creation of other scientometric indexes that will provide evergreater qualitative insights into journal impact.Such efforts have yielded the newly-launched Journal Article Influence Index(JAII),which is based on the Reference Citation Analysis(RCA)database,an open multidisciplinary citation analysis database based on artificial intelligence technology.AIM To evaluate and summarize the similarities and differences between JAII and JIF/CS as journal evaluation indicators,and provide an intuitive method for visual representation of the related data.METHODS We searched the Journal Citation Reports to obtain the 2021 JIF list,downloaded the CS list updated in July on the Scopus website,and collected the comprehensive list of 2022 JAIIs from the RCA database(www.referencecitationanalysis.com).RESULTS Our research results revealed that by breaking through the time limit of mainstream journalevaluation methods, the JAII is able to perform well in data reliability, establishing its benefit as acomplementary scientometric index to JIF and CS.CONCLUSIONJAII provides comprehensive assessment of the quality and performance of journals.

Journal influence evaluation model based on citation analysis and altmetrics

To optimize the evaluation method of journals and establish the evaluation system of academic journals, this paper combines the citation indicators and Altmetrics indicators to build a journal impact evaluation model. Firstly, we collected 7 citation indicators and 17 Altmetrics indicators as the initial indicator of journal evaluation. Then we used correlation analysis, reliability and validity analysis, principal component analysis to determine the core evaluation indicators and used the weighted grey correlation method to calculate academic impact(F;) and social impact(F;). On this basis, build a journal evaluation model, the Traditional and Altmetrics model. Finally,we conducted an empirical study using 74 SSCI geography journals. The study results show that F;and F;have differences in the evaluation of journal influence. The TA model has good stability in journal evaluation, and the journal partition effect of the model is similar to JCR. The TA model integrates F;and F;dimensions to evaluate journal influence, which provides a new idea for evaluating academic journal influence.

Minutes of the First International Editorial Board Meeting of Chinese Journal of Traumatology

The First International Editorial Board Meeting of Chinese Journal of Traumatology was held in Guiyang, China on August 16, 2015. Totally 32 domestic and 20 foreign professors from America. Europe, Asia and Oceania attended the panel discussion about the future of this journal. Some experience from globally excellent journals was proposed.

The Logarithmic Eigenfactor: Solving the Problems with the Normalized Eigenfactor

Since the introduction of the Normalized Eigenfactor as a journal influence factor in 2009,there has been little research into potential problems with this measure.In order to explore and resolve drawbacks associated with the Normalized Eigenfactor,this paper begins by proving that the discriminability realized by this method can be improved upon.By using the JCR2016 mathematics journals as an example,an analysis from the perspective of the discriminative degree and data distribution is performed to compare the Eigenfactor Score with that of the Normalized Eigenfactor.This is done using the Median Maximum Value Ratio,High Score Ratio,Low Score Ratio,Passing Rate,Discrete Coefficient,HHI and Jarque-Bera Test values.The results of the study show that the Normalized Eigenfactor had little effect on the discrimination and data distribution over the Eigenfactor.As such,the published accuracy of Eigenfactor Scores is misleading in claims that the Normalized Eigenfactor can improve the discriminating degree.In reality,it only becomes significant when magnifying the mean value of the Eigenfactor Score by more than 100 times.The Normalized Eigenfactor is a nonlinear transformation,and it will slightly degrade the information captured by the Eigenfactor Score.When the Normalized Eigenfactor is converted,the numerator is the journal’s Eigenfactor Score,and the denominator is derived from other journals’Eigenfactors;therefore,the scale of the measurement is not fixed and is at odds with the basic principle of measurement.Furthermore,the divergence between indicator values and evaluation attributes of the Normalized Eigenfactor manifests as data distribution bias,a low Pass Rate,and low sub-area data congestion.On this basis,this paper proposes to replace the Normalized Eigenfactor with the Logarithmic Eigenfactor.