ArticleMalawi medical journal : the journal of Medical Association of Malawi2025
Predicting public health impact: Linking ResearchGate presence to Scopus performance through machine learning.
Article in Malawi medical journal : the journal of Medical Association of Malawi, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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.
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Authors and funding
4 authors.
Funding
Abstract
Background: ResearchGate as a main scientific social medium and Scopus as a known citation database have main role in sharing research output among specialists in different disciplines. Objective: This study aimed to evaluate the performances of Iranian researchers in occupational health field and correlate some related variables. It also used regression analysis as one of machine learning approaches for predicting researchers' scientific performance. Methods: This descriptive cross-sectional study was conducted in 2024 on ResearchGate and Scopus indicators of Iranian researchers in the Occupational Health Engineering affiliated in Iranian universities (n=213). Data were extracted from ResearchGate and Scopus and the researches' demographic information was collected from Iranian Scientometrics Information Database in medicine. Results: 149 researchers (70%) were active in ResearchGate. 144 researchers (96.6%) had RG scores with the mean rate of 11.70. in ResearchGate, they shared total 4,275 research items with the mean rate of 28.89 items per researcher. With total 24,235 citations, the mean rate of citations per paper was 169.48. Of them,143 (95.9%) had ResearchGate h-indexes with the mean rate of 5.38. In Scopus, 198 researchers (93%) had total 2,935 published documents in the database with mean rate of 14.82 documents per researcher. 186 researchers (87.3%) had total 18,749 citations with the mean rate of 100.80 citations and mean h-index amounted to 4.41. Researchers with more shared documents in ResearchGate had better performance in Scopus. Linear regression analysis showed that the researchers' presence in ResearchGate can predict their citation counts (R2=.82, β=.911, p=.000) and h-indexes (R2=.83, β=.900, p<.001) in Scopus. Conclusion: Iranian researchers in the Occupational Health Engineering field fairly use the capacities of ResearchGate for influencing their research output. However, their interactions in social media tools should be encouraged for more reach and influence of their scientific productions.
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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.