Can promotion on WeChat official accounts improve scholarly journals' academic impact? A micro‐level correlation comparison study

2022 ◽  
Author(s):  
Bei Zhang ◽  
Jing Sun ◽  
Huangqun Zhang ◽  
Chengting Xu
Keyword(s):  
Comparison Study ◽  
Academic Impact ◽  
Scholarly Journals ◽  
Micro Level

scholarly journals Factors affecting the citations of papers in tribology journals

2021 ◽  
Vol 126 (4) ◽  
pp. 3321-3336
Author(s):  
T. Liskiewicz ◽  
G. Liskiewicz ◽  
J. Paczesny
Keyword(s):  
Citation Rate ◽  
Data Sets ◽  
Significant Finding ◽  
Academic Impact ◽  
Scholarly Journals ◽  
Factors Affecting ◽  
Funding Agencies ◽  
Open Versus ◽  
The Impact

AbstractThe citations count is flawed but it still the most common way of measuring the academic impact used by scholarly journals (Impact Factor), individual researchers (h-index) and funding agencies (a proxy for quality of research). Individual papers should attract citations depending upon the importance and usefulness of the results presented. However, large enough data sets reveal that there are parameters independent of individual papers' quality that can determine an average citation rate. Here, we examine papers (4756 in total) published in six selected tribology journals in a six-year window between January 2010 and December 2015. Citations were retrieved from the Web of Science and compared with their (1) manuscript length, (2) number of authors, (3) number of affiliated institutions, (4) number of international co-authors, (5) number of cited references, (6) number of words in the title, and (7) mode of publication (open versus paid access). The results revealed that citations received by papers published in tribology journals are affected by all of these parameters. This is a significant finding for authors wishing to increase the impact of their research. This knowledge can be used effectively at the manuscript planning and writing stages to support scientific merit. We suggest that the significance of parameters not directly related to the quality of a scholarly paper will become more critical with the rise of alternative ways of measuring impact including novel generation of paper metrics (e.g., Eigenfactor, SJR), social mentions, and viral outreach.

scholarly journals Interdependencies in Citation Metrics Using Dimensions (Case Study of Two NAUKMA Journals)

2021 ◽  
pp. 84-99
Author(s):  
Tetiana Yaroshenko ◽  
Oleksandra Yaroshenko
Keyword(s):  
English Language ◽  
Academic Impact ◽  
Scholarly Journals ◽  
Law And Politics ◽  
Open Access Journals ◽  
National University ◽  
International Publishing ◽  
Citation Metrics ◽  
Number Of Citations ◽  
Citation Databases

Quantitative data are increasingly influencing the evaluation of the effectiveness of research and researchers. Citations may be the main metric to assess the quality and value of a publication, the number of which evaluates the academic impact. Who and how is citing Ukrainian scholarly journals? And speaking about citations, what are the main connections and trends? To study these aspects, we analyzed the citations of two “young” Ukrainian journals published by the National University of Kyiv-Mohyla Academy. The authors searched for articles published by two journals (Kyiv-Mohyla Humanities Journal and Kyiv-Mohyla Law and Politics Journal) in the citation databases Dimensions, Web of Science and Scopus. With the help of bibliometric analysis, such indicators as: citation; self-citation of the author; self-citation of the journal; citations from the author affiliated with the publisher of the journal; citations from the author who has a joint affiliation with the author of the article; Altmetric Attention Score. The purpose of the study is to distinguish the publications impact in various fields of knowledge in Open Access journals for researchers around the world, the growing number of citations for English-language publications, the importance of international publishing standards, correlations for self-citation, etc. An important aim is also to summarize the importance of journal indexing in different databases. The study showed that the number of journal citations is primarily influenced by the thematic relevance of published materials. Including, the subject of the article (volume, issue) has a strong correlation with the dynamics and geography of the citations. The number of self-citations of authors, self-citations of the journal, as well as citations from the joint affiliation with the author and publisher was insignificant. No significant impact on the number of citations was also found in the date of publication and its distribution on the Internet (Altmetric). Journal indexing in abstract, full-text databases and citation databases also affects their visibility and audience.

scholarly journals UOC scholarly journals

2019 ◽  
Author(s):  
Maria Boixadera-Ibern ◽  
Clara Riera-Quintero
Keyword(s):  
Academic Staff ◽  
Knowledge Network ◽  
Web Traffic ◽  
Academic Impact ◽  
Scholarly Journals ◽  
Research Dissemination ◽  
Staff Members ◽  
Editorial Boards ◽  
Social Media Networks ◽  
International Knowledge

Inspired by the DORA Declaration's recommendations regarding the transparency and contextualization of research output's impact data, we have created a poster displaying the complete set of data and indicators for all academic journals published, coedited or sponsored by the UOC. This visual representation is also intended as a way of presenting evidence of scholarly journals' capacity to create and build an international knowledge network. In the process, this helps to publicise and position the prestige of universities and their academic staff and quality values within the framework of scholarly communication. The figures are grouped into four categories: The first data group provides a description of the academic staff network involved in the journals' publication (authors, reviewers and members of the editorial boards). The figures show the number of people for each type of academic post and staff distribution by gender and by country. The second group is a geomap that combines data from two different dimensions: number of site visits per country and number of academic staff members per country. The third group of data shows the academic impact figures. They are basically the total number of citations reported in Web of Science, Scopus and Google Scholar, and the main indexing achievements. The fourth group provides information on the journals' general engagement capacity based on data gathered from social media networks and web traffic. In summary, the aim of this type of information graphic is to demonstrate scholarly journals' capacity to boost prestige, knowledge and research dissemination within a quality-controlled framework.

Shari’ah Audit Disclosure in annual reports: A comparison study between Bahrain and Malaysian Islamic Financial Institutions

2016 ◽  
Vol 4 (2) ◽  
pp. 202-218
Author(s):  
ڕێبوار محمد احمد ◽  
◽  
هێمن محمد عزیز ◽  
بصيرة ماجيد نجم ◽  
◽  
...  
Keyword(s):  
Financial Institutions ◽  
Annual Reports ◽  
Comparison Study ◽  
Islamic Financial Institutions

Is technological change a devourer of jobs?

2017 ◽  
pp. 111-140 ◽  
Author(s):  
R. Kapeliushnikov
Keyword(s):  
Technological Change ◽  
Critical Analysis ◽  
New Technologies ◽  
Employment Growth ◽  
Foreseeable Future ◽  
Employment Effects ◽  
Technological Unemployment ◽  
Micro Level ◽  
Task Sets ◽  
The Impact

The paper provides a critical analysis of the idea of technological unemployment. The overview of the existing literature on the employment effects of technological change shows that on the micro-level there exists strong and positive relationship between innovations and employment growth in firms; on the sectoral level this correlation becomes ambiguous; on the macro-level the impact of new technologies seems to be positive or neutral. This implies that fears of explosive growth of technological unemployment in the foreseeable future are exaggerated. Our analysis further suggests that new technologies affect mostly the structure of employment rather than its level. Additionally we argue that automation and digitalisation would change mostly task sets within particular occupations rather than distribution of workers by occupations.

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