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Article
Publication date: 18 December 2023

Somipam R. Shimray, Sakshi Tiwari and Chennupati Kodand Ramaiah

The purpose of this study is to examine characteristics of retracted publications from Indian authors and inspect a relationship between journal impact factor (JIF) and the number…

Abstract

Purpose

The purpose of this study is to examine characteristics of retracted publications from Indian authors and inspect a relationship between journal impact factor (JIF) and the number of authors (NoA).

Design/methodology/approach

The authors examined the general characteristics of retracted publications and investigated the correlation between JIF and NoA from Indian authors from January 1, 2017, to December 31, 2022. Data were mined from retraction watch http://retractiondatabase.org/ (n = 1,459) and determined the year of publication, year of retraction, authors, journals, publishers and causes of the retractions. A journal citation report was extracted to gather the JIFs.

Findings

About one-third of retracted papers were published in 2020; 2022 has the highest retraction rate (723); studies with two authors represent about one-third (476) of the published articles; Journal of Ambient Intelligence and Humanized Computing (354) has the highest number of retractions; Springer published the most retracted papers (674); and the majority of the journal (1,133) is indexed in journal citation reports, with impact factor extending from 0.504 to 43.474. Retraction due to legal reasons/legal threats was the most predominant reason for retraction.

Originality/value

This study reflects growth in author collaborations with a surge in the JIF. This study recommends that quick retraction is essential to reduce the adverse effects of faulty research.

Details

Global Knowledge, Memory and Communication, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2514-9342

Keywords

Article
Publication date: 23 September 2024

Somipam R. Shimray and Prosperous Nongsiej

The purpose of this study is to examine the “Top 100” articles that received the highest online attention in 2023.

Abstract

Purpose

The purpose of this study is to examine the “Top 100” articles that received the highest online attention in 2023.

Design/methodology/approach

The author examined data obtained from the Dimensions database. They determined the top 100 articles with the highest Altmetric Attention Score published in 2023 using the Dimensions database. The search was done on December 31, 2023, and the publication type was limited to articles. Furthermore, articles were analyzed to identify online attention platforms, subject categories, publication sources, access types and authorship patterns. The data were organized in Microsoft Excel for eventual examination.

Findings

The most discoursed article in 2023 has an Article Attention Score of 26156. The “Top 100 List” is dominated by COVID-19-related studies. X (249,064), Mendeley (2,445) and News (1,977) are the most prominent sharing and discussion platforms. There is an unequal distribution of articles in 28 subject categories. The top 100 articles were published in 67 journals. The majority of articles are accessible under the open-access model. The top 100 articles are written by 1,323 authors, with an authorship range of 1 to 308. The majority of articles are the result of collaborative work, and the correlation analysis between citations and AAS indicates a weak positive correlation possibly because of different factors influencing each metric and their methods of measuring scholarly impact.

Originality/value

To the best of the authors’ knowledge, this study is the first to present online attention to academic articles published in 2023. This study examines the effect of online attention platforms on research, which may be used as a measure of research outcome.

Details

Global Knowledge, Memory and Communication, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2514-9342

Keywords

Article
Publication date: 13 November 2020

Somipam Ronra Shimray and Chennupati Kodand Ramaiah

Knowledge sharing is influenced by various factors in different cultures. It is imperative to understand those factors that influence knowledge sharing, therefore, this paper aims…

Abstract

Purpose

Knowledge sharing is influenced by various factors in different cultures. It is imperative to understand those factors that influence knowledge sharing, therefore, this paper aims to examine the factors that influence cultural heritage knowledge (CHK) sharing.

Design/methodology/approach

Data was collected from 400 Tangkhul youth from Manipur state through a survey-based questionnaire. Data screening, factor analysis and reliability tests were carried out to confirm the validity and reliability of the instruments, t-test and ANOVA test were carried out to check the stated hypotheses.

Findings

From factor analysis, six factors i.e. rewards, intention to share, expect a relationship, enjoy helping, self-efficacy and reciprocity, were identified which are influencing knowledge sharing. The study indicates that “rewards” and “intention to share” are the two most vital factors influencing the individuals to share their CHK. The results show that “rewards” have a significant difference on gender and place of residence [(t = 3.153, p = 0.002) and (t = 2.500, p = 0.013)] also “enjoy helping” has a significant difference on the subject background (F = 3.185, p = 0.024) and “reciprocity” and “intention to share” has a significant difference on family income [(F = 3.270, p = 0.007) and (F = 2.716, p = 0.020)].

Originality/value

This study determines to identify the various factors that are influencing on sharing of CHK among the Tangkhul youth. It is found that reward was the prime factor in sharing CHK among the Tangkhul youth.

Details

VINE Journal of Information and Knowledge Management Systems, vol. 52 no. 2
Type: Research Article
ISSN: 2059-5891

Keywords

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