Evaluating obesity publications: from bibliometrics to altmetrics

Aletaha, Azadeh; Soltani, Akbar; Dokhani, Firoozeh

doi:10.1007/s40200-021-00758-7

Cited by 10 publications

(5 citation statements)

References 14 publications

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“…Thus, we demonstrate that this discipline will continue to be a hot research topic in the coming years. Furthermore, the increase in publications on obesity and insulin resistance appears to be more noticeable than in other scientific fields [28,29,31,[66][67][68], which is likely due to the health consequences and the rapidly increasing global prevalence of obesity in both developed and developing countries [31,[69][70][71].…”

Section: Discussionmentioning

confidence: 99%

Global research trends on the links between insulin resistance and obesity: a visualization analysis

et al. 2022

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Background Obesity increases the chance of developing insulin resistance. Numerous inflammatory markers have been linked to an increased risk of insulin resistance in obese individuals. Therefore, we performed a bibliometric analysis to determine global research activity and current trends in the field of obesity and insulin resistance. Methods Scopus was used between 2002 and 2021 to retrieve publications related to terms related to obesity and insulin resistance. Data were exported to Microsoft Excel. Additionally, we use VOSviewer software to create visualization maps that describe international collaborations and research hotspots. Results We identified 6626 publications, including 5754 journal articles, 498 review articles, and 109 letters to the editor. The most productive countries were the United States (n = 995, 30.11%), followed by China (n = 650, 9.81%), Italy (n = 412, 6.22%) and Spain (n = 386, 5.83%). Previously to 2012, this field was mainly focused on ‘adipocyte dysfunctions that link obesity with insulin resistance”; and ‘relationship between obesity, insulin resistance, and risk of cardiovascular disease’. ‘Supplements improve insulin sensitivity‘, and ‘obesity-induced inflammation and insulin resistance’ were found more recently (after 2014), indicating that research in this field has acquired significant interest and emphasis in recent years. Conclusions This is the first bibliometric study to focus on publications related to insulin resistance and obesity at the global level. Our reporting of quantifiable knowledge in this field may be useful in providing evidence and direction for future research, clinical practice, and educational initiatives.

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Section: Discussionmentioning

confidence: 99%

Global research trends on the links between insulin resistance and obesity: a visualization analysis

et al. 2022

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Section: Resultsmentioning

confidence: 99%

“…It means that the emphasis of each indicator on the representation of the journal's discourse leading is different. Altmetrics should not be a substitute but a supplement for the existing journal evaluation indicator system (Aletaha et al, 2021;Holmberg and Park, 2018). Despite the widespread acceptance of citation metrics, we cannot ignore the potential discourse-leading power of academic journals through altmetrics (Garcovich et al, 2020;Hou and Ma, 2020;Akella et al, 2021).…”

Section: Evaluation Of Discourse Leading For Integrating Altmetrics I...mentioning

confidence: 99%

Characteristics analysis and evaluation of discourse leading for academic journals: perspectives from multiple integration of altmetrics indicators and evaluation methods

Wang

2022

LHT

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PurposeUnder the background of open science, this paper integrates altmetrics data and combines multiple evaluation methods to analyze and evaluate the indicators' characteristics of discourse leading for academic journals, which is of great significance to enrich and improve the evaluation theory and indicator system of academic journals.Design/methodology/approachThis paper obtained 795,631 citations and 10.3 million altmetrics indicators data for 126,424 published papers from 151 medicine, general and internal academic journals. In this paper, descriptive statistical analysis and distribution rules of evaluation indicators are first carried out at the macro level. The distribution characteristics of evaluation indicators under different international collaboration conditions are analyzed at the micro level. Second, according to the characteristics and connotation of the evaluation indicators, the evaluation indicator system is constructed. Third, correlation analysis, factor analysis, entropy weight method and TOPSIS method are adopted to evaluate and analyze the discourse leading in medicine, general and internal academic journals by integrating altmetrics. At the same time, this paper verifies the reliability of the evaluation results.FindingsSix features of discourse leading integrated with altmetrics indicators are obtained. In the era of open science, online academic exchanges are becoming more and more popular. The evaluation activities based on altmetrics have fine-grained and procedural advantages. It is feasible and necessary to integrate altmetrics indicators and combine the advantages of multiple methods to evaluate the academic journals' discourse leading of which are in a diversified academic ecosystem.Originality/valueThis paper uses descriptive statistical analysis to analyze the distribution characteristics and distribution rules of discourse leading indicators of academic journals and to explore the availability of altmetrics indicators and the effectiveness of constructing an evaluation system. Then, combining the advantages of multiple evaluation methods, The author integrates altmetrics indicators to comprehensively evaluate the discourse leading of academic journals and verify the reliability of the evaluation results. This paper aims to provide references for enriching and improving the evaluation theory and indicator system of academic journals.

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Section: Resultsmentioning

confidence: 99%

“…It does mean that the emphasis of each indicator on the representation of a journal's discourse leading is different. For the existing journal's evaluation indicator systems, the emergence of altmetrics should not be a substitute but should play a supplementary role (Aletaha et al, 2021;Costas et al, 2015;Erdt et al, 2016;Holmberg and Park, 2018). Despite widespread acceptance of citation metrics, we cannot ignore the potential discourse leading power of academic journals through altmetrics (Hou and Ma, 2020).…”

Section: Correlation Analysis Of Indicatorsmentioning

confidence: 99%

Research on the relationships between discourse leading indicators and citations: perspectives from altmetrics indicators of international multidisciplinary academic journals

Wang

Feng

2022

LHT

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PurposeThis paper aims to analyze the relationships between discourse leading indicators and citations from perspectives of integrating altmetrics indicators and tries to provide references for comprehending the quantitative indicators of scientific communication in the era of open science, constructing the evaluation indicator system of the discourse leading for academic journals and then improving the discourse leading of academic journals.Design/methodology/approachBased on the theory of communication and the new pattern of scientific communication, this paper explores the formation process of academic journals' discourse leading. This paper obtains 874,119 citations and 6,378,843 altmetrics indicators data from 65 international multidisciplinary academic journals. The relationships between indicators of discourse leading (altmetrics) and citations are studied by using descriptive statistical analysis, correlation analysis, principal component analysis, negative binomial regression analysis and marginal effects analysis. Meanwhile, the connotation and essential characteristics of the indicators, the strength and influence of the relationships are further analyzed and explored. It is proposed that academic journals' discourse leading is composed of news discourse leading, social media discourse leading, peer review discourse leading, encyclopedic discourse leading, video discourse leading and policy discourse leading.FindingsIt is discovered that the 15 altmetrics indicators data have a low degree of centralization to the center and a high degree of polarization dispersion overall; their distribution patterns do not follow the normal distributions, and their distributions have the characteristics of long-tailed right-peaked curves. Overall, 15 indicators show positive correlations and wide gaps exist in the number of mentions and coverage. The academic journals' discourse leading significantly affects total cites. When altmetrics indicators of international mainstream academic and social media platforms are used to explore the connotation and characteristics of academic journals' discourse leading, the influence or contribution of social media discourse, news discourse, video discourse, policy discourse, peer review discourse and encyclopedia discourse on the citations decreases in turn.Originality/valueThis study is innovative from the academic journal level to analyze the deep relationships between altmetrics indicators and citations from the perspective of correlation. First, this paper explores the formation process of academic journals' discourse leading. Second, this paper integrates altmetrics indicators to study the correlation between discourse leading indicators and citations. This study will help to enrich and improve basic theoretical issues and indicators’ composition, provide theoretical support for the construction of the discourse leading evaluation system for academic journals and provide ideas for the evaluation practice activities.

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Evaluating obesity publications: from bibliometrics to altmetrics

Cited by 10 publications

References 14 publications

Global research trends on the links between insulin resistance and obesity: a visualization analysis

Global research trends on the links between insulin resistance and obesity: a visualization analysis

Characteristics analysis and evaluation of discourse leading for academic journals: perspectives from multiple integration of altmetrics indicators and evaluation methods

Research on the relationships between discourse leading indicators and citations: perspectives from altmetrics indicators of international multidisciplinary academic journals

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