Peer Review Metrics and their influence on the Journal Impact

The manuscript processing timeline, a necessary facet of the publishing process, varies from journal to journal, and its influence on the journal impact needs to be studied. The current research looks into the correlation between the ‘Peer Review Metrics’ (submission to first editorial decision; submission to first post-review decision and submission to accept) and the ‘Journal Impact Data’ (2-year Impact Factor; 5-year Impact Factor; Immediacy Index; Eigenfactor Score and Article Influence Score). The data related to ‘Peer Review Metrics’ (submission to first editorial decision; submission to first post-review decision and submission to accept) and ‘Journal Impact Data’ (2-year Impact Factor; 5-year Impact Factor; Immediacy Index; Eigenfactor Score and Article Influence Score) were downloaded from the ‘Nature Research’ journals website https://www.nature.com/nature-portfolio/about/journal-metrics . Accordingly, correlations were drawn between the ‘Peer Review Metrics’ and the ‘Journal Impact Data’. If the time from ‘submission to first editorial decision’ decreases, the ‘Journal Impact Data’ increases and vice versa. However, an increase or decrease in the time from ‘submission to first editorial decision’ does not affect the ‘Eigenfactor Score’ of the journal and vice versa. An increase or decrease in the time from ‘submission to first post-review decision’ does not affect any ‘Journal Impact Data’ and vice versa. If the time from ‘submission to acceptance’ increases, the ‘Journal Impact Data’ (2-year Impact Factor, 5-year Impact Factor, Immediacy Index and Article Influence Score) also increases, and if the time from ‘submission to acceptance’ decreases, so will the ‘Journal Impact Data’. However, an increase or decrease in the time from ‘submission to acceptance’ does not affect the ‘Eigenfactor Score’ of the journal and vice versa. The study will act as a ready reference tool for the scholars to select the most appropriate submitting platforms for their scholarly endeavours. Furthermore, the performance and evaluative indicators responsible for a journal’s overall research performance can also be understood from a micro-analytical view, which will help the researchers select appropriate journals for their future scholarly submissions. Lengthy publication timelines are a big problem for the researchers because they are not able to get the credit for their research on time. Since the study validates a relationship between the ‘Peer Review Metrics’ and ‘Journal Impact Data’, the findings will be of great help in making an appropriate journal’s choice. The study can be an eye opener for the journal administrators who vocalise a speed-up publication process by enhancing certain areas of publication timeline. The study is the first of its kind that correlates the ‘Peer Review Metrics’ of the journals and the ‘Journal Impact Data’. The study’s findings are limited to the data retrieved from the ‘Nature Research’ journals and cannot be generalised to the full score of journals. The study can be extended across other publishers to generalise the findings. Even the articles’ early access availability concerning ‘Peer Review Metrics’ of the journals and the ‘Journal Impact Data’ can be studied.

A Historical Review and Analysis of Impact Factors Across School Psychology Journals from 1977 to 2019

School psychology journals yield hundreds of articles each year. As these journals are often evaluated based on the impact factors they produce, the aim of this study was to provide a historically complete record of the five impact factor values for the generalist school psychology journals that yield them. This study identified impact factors beginning in 1977, 20 years earlier than previously reported, and ending in 2019. Across all years and journals, the average Journal Impact Factor (JIF) was about 1.0, the average Immediacy Index was less than 0.4, the average 5-year Impact Factor was about 2.3, the average original CiteScore was 1.8, and the average new CiteScore was about 3.0. Increases in values were evident across time, and the highest recorded values across journals are held by the Journal of School Psychology (for the JIF, 5-year Impact Factor, and both CiteScore metrics) and School Psychology Review (for the Immediacy Index). Most impact factors, with the exception of the Immediacy Index, were moderately to highly correlated. The new CiteScore values were always the highest, and Immediacy Index values were always the lowest. School psychology has added journals to the list of those indexed by major databases, and these journals have increased their impact over time.

A comparison of bibliometric indicators in occupational therapy journals published in English

Background. The use of bibliometrics to evaluate the quality and impact of refereed journals has increased along with access to electronic databases and citation counts. Purpose. This analysis compared and contrasted the range of publication metrics available for English-language occupational therapy journals. Method. Bibliometric data were sourced for 23 English-language occupational therapy journals, including data from the Journal Citation Reports (JCR) 2- and 5-year impact factor, JCR Immediacy Index, Eigenfactor Score, Article Influence Score, Scopus Source Normalized Impact per Paper, SCImago Journal Rank (SJR) score, and ResearchGate journal impact score. H-indexes for journals were also sourced. Findings. The American Journal of Occupational Therapy had the highest publication metrics. SJR-based scores included a larger number of journals, whereas JCR-based metrics were more restrictive in the number of journals included. Implications. Multiple metrics should be used to comprehensively understand occupational therapy journal performance.

Publication lag and early view effects in information science journals

Purpose A major problem in today’s scholarly publishing process is the long tails for the assignment of volume and issue numbers for approved articles. The purpose of this paper is to investigate the extent to which information science journals offer early view features and the effects of these features. Design/methodology/approach The study addresses three basic questions: Do the articles approved for publication in information science journals appear in the online platforms of these journals before the assignment of volume and issue numbers? How long do the articles wait in the online platforms before they get the volume and issue numbers? Is there a statistically significant relationship between the online accessing numbers of the articles before they are published and bibliometric indicators? Findings More than half of the information science journals complete the editorial process in reasonable durations and share new articles with their readers before publishing them. In some journals, there are articles that wait for more than a year to be assigned volume and issue numbers after the completion of the editorial process. There are statistically significant differences, in terms of both their impact factor and immediacy index values, between the journals that offer early view features and those that do not. Both the impact factor and the immediacy index values of the journals that provide early view are higher than the others. Practical implications Adopting the early view policy may significantly help increase the impact factor and immediacy index values of the journals, as well as the visibility of their contents Originality/value The answers to this study’s research questions offer a new perspective to overcome the challenges in the processes through which scientific products meet with their users.

Environmental Science: Nano – immediacy index and more

Vicki Grassian, Editor-in-Chief, reflects on the achievements of the Journal so far and announces some changes going forward.

A Comprehensive Bibliometric Analysis for Category "Thermodynamics" within SCI-E - Part 5: Analysis of II, CHL and CngHL

Category "Thermodynamics" was established in 1993 within SCI-E, starting with 25 journals, with only 55 journals in 2014, which is an increase of more than two times for the period observed. It is ranged as a category within SCI-E in 2014 according to number of journals on 100 position, from total 176 categories. This paper presents Part 5 of article series of a comprehensive bibliometric analysis for category "Thermodynamics" within SCI-E, in which bibliometric indicators are analyzed: Immediacy Index (II), Cited Half-Life (CHL) and Citing Half-Life (CngHL) for this category for the period 1993-2014. This analysis shows that journal: Progress in Energy and Combustion Science have by far the highest II and MII in this category and this period.Abbreviations:

On Evaluation Of Faculty Research Impact Of Citation Analysis

<p class="MsoBlockText" style="margin: 0in 0.5in 0pt;"><span style="font-style: normal; font-family: &quot;CG Times&quot;,&quot;serif&quot;; font-size: 10pt;">Citation analysis is gaining importance in evaluation of faculty research because of the need for objective, consistent analysis and because of the availability of databases that provide citation information.<span style="mso-spacerun: yes;">&nbsp; </span>An overview of citation analysis is presented, along with criteria for and examples of manual and electronic citation analysis.<span style="mso-spacerun: yes;">&nbsp; </span>The example of the manual count determines the average number of bibliographic citations per article; the recency of the citation;<span style="mso-spacerun: yes;">&nbsp; </span>the author self-citation rate; the percentage of citations listed in the articles from books, journals, or other publications;<span style="mso-spacerun: yes;">&nbsp; </span>the average number of pages per article; the incidence of citations to the journal in which the article is published (journal self-citations).<span style="mso-spacerun: yes;">&nbsp; </span>The examples of the electronic count give number of citations from authors in other journals, impact factor, immediacy index, and cited half-life. Results provide insight into availability of data and possible uses of that data; i.e., faculty and research evaluation, selection of journals in which to publish, and implications for the future.</span></p>