ArticleJournal of diabetes and metabolic disorders2021
Evaluating obesity publications: from bibliometrics to altmetrics.
Article in Journal of diabetes and metabolic disorders, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- The Societal Impact of the Papers Published in Blended Learning in Medicine on Social Network Sites: An Altmetrics Study.Iranian journal of public health · 2024Article
- The correlation between altmetric score and traditional measures of article impact for studies pertaining to spine trauma.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2024Review
- Research impact in randomized controlled trials of diabetes: an altmetric approach.Journal of diabetes and metabolic disorders · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposestudy the bibliometrics indicators of Iranian authors in the field of obesity and Correlation Comparison between conventional citation counts and altmetrics scores from 2005 to 2019.
methodsThe study uses bibliometric characteristics and altmetric analysis. Population consists of 5359 articles out of 8220 in the field of obesity which have specified Iran as the affiliated country and indexed by Scopus between 2005 to 2019. Citations was extracted from Scopus database and visualized bibliographic data by VOS viewer software version 17, as well as Altmetric Explorer was applied for altmetrics data. The spearman correlation was used to analyze distributions of altmetrics and citation. Statistical analysis was utilized using SPSS software version 17.
resultsAccording to altmetrics finding among 2221 articles, 90% of articles had focused on different social media. The major interaction of researches has taken place in Twitter respectively News and Facebook. a positive correlation (r = 0.31) has been found between citation and altmetrics. As a result, Institutes with the highest degree of co-authorship had the top 10 articles with the highest altmetrics score.
conclusionDepending on the degree of correlation suggest that altmetrics should be seen as complements to, rather than alternatives to citations. Altmetrics indicators will be very useful for health policymaking and aid them with identifying important factors driving altmetric events. Also it could help to reveal the hidden value of some medical papers. Our findings can help international communications for scientific collaboration at the level of business and health care industry, and emergency managers gain a comprehensive understanding of the research area.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.