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1 – 3 of 3Olga Blasco-Blasco, Márton Demeter and Manuel Goyanes
The purpose of this article is to theoretically outline and empirically test two contribution-based indicators: (1) the scholars' annual contribution-based measurement and (2…
Abstract
Purpose
The purpose of this article is to theoretically outline and empirically test two contribution-based indicators: (1) the scholars' annual contribution-based measurement and (2) the annual contribution modified h-index, computing six criteria: total number of papers, computed SCImago Journal Rank values, total number of authors, total number of citations of a scholar’s work, number of years since paper publication and number of annual paper citations.
Design/methodology/approach
Despite widespread scholarly agreement about the relevance of research production in evaluation and recruitment processes, the proposed mechanisms for gauging publication output are still rather elementary, consequently obscuring each individual scholar’s contributions. This study utilised the Technique for Order of Preference by Similarity to Ideal Solution method, and the authors built two indicators to value author's contribution.
Findings
To test both indicators, this study focussed on the most productive scholars in communication during a specific time period (2017–2020), ranking their annual research contribution and testing it against standard productivity measures (i.e. number of papers and h-index).
Originality/value
This article contributes to current scientometric studies by addressing some of the limitations of aggregate-level measurements of research production, providing a much-needed understanding of scholarly productivity based on scholars' actual contribution to research.
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Keywords
Manuel Goyanes, Márton Demeter, Gergő Háló, Carlos Arcila-Calderón and Homero Gil de Zúñiga
Gender and geographical imbalance in production and impact levels is a pressing issue in global knowledge production. Within Health Sciences, while some studies found stark gender…
Abstract
Purpose
Gender and geographical imbalance in production and impact levels is a pressing issue in global knowledge production. Within Health Sciences, while some studies found stark gender and geographical biases and inequalities, others found little empirical evidence of this marginalization. The purpose of the study is to clear the ambiguity concerning the topic.
Design/methodology/approach
Based on a comprehensive and systematic analysis of Health Sciences research data downloaded from the Scival (Scopus/Scimago) database from 2017 to 2020 (n = 7,990), this study first compares gender representation in research productivity, as well as differences in terms of citation per document, citations per document view and view per document scores according to geographical location. Additionally, the study clarifies whether there is a geographic bias in productivity and impact measures (i.e. citation per document, citations per document view and view per document) moderated by gender.
Findings
Results indicate that gender inequalities in productivity are systematic at the overall disciplinary, as well as the subfield levels. Findings also suggest statistically significant geographical differences in citation per document, citations per document view, and view per document scores, and interaction effect of gender over the relation between geography and (1) the number of citations per view and (2) the number of views per document.
Originality/value
This study contributes to scientometric studies in health sciences by providing insightful findings about the geographical and gender bias in productivity and impact across world regions.
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Rebecca Scheffauer, Manuel Goyanes and Homero Gil de Zúñiga
Traditionally, most readers' news access and consumption were based on direct intentional news seeking behavior. However, in recent years the emergence and popularization of…
Abstract
Purpose
Traditionally, most readers' news access and consumption were based on direct intentional news seeking behavior. However, in recent years the emergence and popularization of social media platforms have enabled new opportunities for citizens to be incidentally informed about public affairs and politics as by-product of using these platforms. This article seeks to shed light on how socio-political conversation attributes may explain incidental exposure to information.
Design/methodology/approach
Drawing on US and UK survey data, the authors explore the role of political discussion and discussion network heterogeneity in predicting individuals' levels of incidental exposure to news. Furthermore, the authors also test the role of social media news use as a moderator. A hierarchical OLS regression analysis with incidental news exposure as dependent variable was conducted as well as analyses of moderation effects (heterogeneity*social media and political discussion*social media) using the PROCESS macro in SPSS.
Findings
Findings reveal that heterogeneous networks are positively related to incidental news exposure in the UK, while sheer level of political discussion is a positive influence over incidental news exposure in the US. Social media news use moderates the relationship between political discussion and incidental news exposure in the UK. That is, those who are highly exposed to news on social media and discuss less often about politics and public affairs, they tend to be incidentally exposed to news online the most. Meanwhile, the interaction of social media news and discussion heterogeneity showed significant results in the US with those exhibiting high levels of both also receiving the biggest share of INE.
Originality/value
This study contributes to closing research gaps regarding how and when people are inadvertently exposed to news in two Western societies. By highlighting that beyond the fate of algorithmic information treatment by social media platforms, discussion antecedents as well as social media news use play an integral part in predicting incidental news exposure, the study unravels fundamental conditions underlying the incidental news exposure phenomenon.
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