Comparison of attention for malnutrition research on social media versus academia: Altmetric score analysis.

ABSTRACT

OBJECTIVES: In this study, we aimed to provide bibliometric and Altmetric overviews and visualization and to evaluate the correlation between traditional bibliometric and Altmetric analyses in the field of malnutrition. METHODS: Articles published in the past decade were identified by searching for the term "malnutrition" on the Web of Science indexing database and research platform. The top 50 cited articles were analyzed in terms of title, study type, topic of study, first author, publication year, citation number, keywords, organizations, average citations per year, journal H index, impact factor, and Altmetric attention score. Also, the top 50 Altmetric articles published in the past decade about malnutrition were provided on the website Altmetric.com. RESULTS: Among the top 50 cited articles, the most common study type, topic of study, publication year, and keyword were, respectively, original scientific paper (n = 26), definition-diagnosis of malnutrition (n = 17), 2010 (n = 13), and malnutrition (n = 18). The article titled "Maternal and child undernutrition and overweight in low-income and middle-income countries" in Lancet had the highest citation number, and the article "Impacts of COVID-19 on childhood malnutrition and nutrition-related mortality" in Lancet had the highest Altmetric score. CONCLUSIONS: Evaluating academic publications with an Altmeric analysis in addition to a traditional bibliometric analysis is beneficial because Altmetric attention scores can give information about what the population wants to know about malnutrition and allows us to develop appropriate policies.