Association between the Rankings of Top Bioinformatics and Medical Informatics Journals and the Scholarly Reputations of Chief Editors
The scientometric indices, such as the journal Impact Factor (IF) or SCImago Journal Rank (SJR), often play a determining role while choosing a journal for possible publication. The Editor-in-Chief (EiC), also known as a lead editor or chief editor, usually decides the outcomes (e.g., accept, reject...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-09-01
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| Series: | Publications |
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| Online Access: | https://www.mdpi.com/2304-6775/9/3/42 |
| _version_ | 1827681437339353088 |
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| author | Salim Sazzed |
| author_facet | Salim Sazzed |
| author_sort | Salim Sazzed |
| collection | DOAJ |
| description | The scientometric indices, such as the journal Impact Factor (IF) or SCImago Journal Rank (SJR), often play a determining role while choosing a journal for possible publication. The Editor-in-Chief (EiC), also known as a lead editor or chief editor, usually decides the outcomes (e.g., accept, reject) of the submitted manuscripts taking the reviewer’s feedback into account. This study investigates the associations between the EiC’s scholarly reputation (i.e., citation-level metrics) and the rankings of top Bioinformatics and Computational Biology (BCB) and Medical Informatics (MI) journals. I consider three scholarly indices (i.e., citation, h-index, and i-10 index) of the EiC and four scientometric indices (i.e., h5-index, h5-median, impact factor, and SJR) of various journals. To study the correlation between scientometric indices of the EiC and journal, I apply Spearman (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>ρ</mi></semantics></math></inline-formula>) and Kendall (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>τ</mi></semantics></math></inline-formula>) correlation coefficients. Moreover, I employ machine learning (ML) models for the journal’s SJR and IF predictions leveraging the EiC’s scholarly reputation indices. The analysis reveals no correlation between the EiC’s scholarly achievement and the journal’s quantitative metrics. ML models yield high prediction errors for SJR and IF estimations, which suggests that the EiC’s scholarly indices are not good representations of the journal rankings. |
| first_indexed | 2024-03-10T07:16:04Z |
| format | Article |
| id | doaj.art-0e773f35a77d476aa72999be37264746 |
| institution | Directory Open Access Journal |
| issn | 2304-6775 |
| language | English |
| last_indexed | 2024-03-10T07:16:04Z |
| publishDate | 2021-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Publications |
| spelling | doaj.art-0e773f35a77d476aa72999be372647462023-11-22T15:01:48ZengMDPI AGPublications2304-67752021-09-01934210.3390/publications9030042Association between the Rankings of Top Bioinformatics and Medical Informatics Journals and the Scholarly Reputations of Chief EditorsSalim Sazzed0Department of Computer Science, College of Sciences, Old Dominion University, 5115 Hampton Blvd, Norfolk, VA 23529, USAThe scientometric indices, such as the journal Impact Factor (IF) or SCImago Journal Rank (SJR), often play a determining role while choosing a journal for possible publication. The Editor-in-Chief (EiC), also known as a lead editor or chief editor, usually decides the outcomes (e.g., accept, reject) of the submitted manuscripts taking the reviewer’s feedback into account. This study investigates the associations between the EiC’s scholarly reputation (i.e., citation-level metrics) and the rankings of top Bioinformatics and Computational Biology (BCB) and Medical Informatics (MI) journals. I consider three scholarly indices (i.e., citation, h-index, and i-10 index) of the EiC and four scientometric indices (i.e., h5-index, h5-median, impact factor, and SJR) of various journals. To study the correlation between scientometric indices of the EiC and journal, I apply Spearman (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>ρ</mi></semantics></math></inline-formula>) and Kendall (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>τ</mi></semantics></math></inline-formula>) correlation coefficients. Moreover, I employ machine learning (ML) models for the journal’s SJR and IF predictions leveraging the EiC’s scholarly reputation indices. The analysis reveals no correlation between the EiC’s scholarly achievement and the journal’s quantitative metrics. ML models yield high prediction errors for SJR and IF estimations, which suggests that the EiC’s scholarly indices are not good representations of the journal rankings.https://www.mdpi.com/2304-6775/9/3/42citation analysisjournal editorial boardscientometric analysisbibliometric analysisscientometric indicatorseditor impact |
| spellingShingle | Salim Sazzed Association between the Rankings of Top Bioinformatics and Medical Informatics Journals and the Scholarly Reputations of Chief Editors Publications citation analysis journal editorial board scientometric analysis bibliometric analysis scientometric indicators editor impact |
| title | Association between the Rankings of Top Bioinformatics and Medical Informatics Journals and the Scholarly Reputations of Chief Editors |
| title_full | Association between the Rankings of Top Bioinformatics and Medical Informatics Journals and the Scholarly Reputations of Chief Editors |
| title_fullStr | Association between the Rankings of Top Bioinformatics and Medical Informatics Journals and the Scholarly Reputations of Chief Editors |
| title_full_unstemmed | Association between the Rankings of Top Bioinformatics and Medical Informatics Journals and the Scholarly Reputations of Chief Editors |
| title_short | Association between the Rankings of Top Bioinformatics and Medical Informatics Journals and the Scholarly Reputations of Chief Editors |
| title_sort | association between the rankings of top bioinformatics and medical informatics journals and the scholarly reputations of chief editors |
| topic | citation analysis journal editorial board scientometric analysis bibliometric analysis scientometric indicators editor impact |
| url | https://www.mdpi.com/2304-6775/9/3/42 |
| work_keys_str_mv | AT salimsazzed associationbetweentherankingsoftopbioinformaticsandmedicalinformaticsjournalsandthescholarlyreputationsofchiefeditors |