A Bibliometric Analysis of Scientific Research on Atypical Antipsychotic Drugs in India during 1998-2013

López‐Muñoz, Francisco; Srinivasan, V.; Gutiérrez-Soriano, Agustín; Shen, Winston W.; García-García, Pilar; Rubio, Gabriel; González, Cristerna

doi:10.14800/mmc.1113

Cited by 4 publications

(1 citation statement)

References 39 publications

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“…Bibliometrics includes the collection, processing and management of quantitative bibliographic data from scientific publications (20), and their statistical indicators allow measurement of the growth, size and distribution of scientific literature on the topic in question during a given time period (21). Our research group has studied, using a bibliometric approach, the evolution of scientific literature in different areas of neurosciences by several research groups, involving diverse psychiatric disorders and characteristics related, as well as specific therapeutic tools in the field of psychopharmacology (22)(23)(24)(25)(26)(27)(28)(29)(30)(31)(32)(33)(34), including the evolution of publications on the pineal gland during the period 1966-1994 (35), and 1900-2014 (36). In this sense, to detail its distribution, and interpret the changes that have affected its development, we focused our attention on the bibliometric analysis of the scientific production on melatonin since the discovery of this hormone in 1958 until 2019, to identify the groupings and trends of the research on this topic.…”

Section: Introductionmentioning

confidence: 99%

The crossroads of melatonin: Bibliometric analysis and mapping of global scientific research

et al. 2021

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Melatonin is a molecule that has attracted a great deal of attention from the scientific community in the last 50 years. The aim of this study is to analyze the scientific production on related to melatonin using bibliometric tools. We performed a search in Web of Science, involving documents published between 1958 and 2019. We used bibliometric indicators to explore documents production, dispersion, distribution, time of duplication and annual growth, as Price's law of scientific literature growth, Lotka's law, the transient index and the Bradford model. We also calculated the participation index of the different countries and institutions. Finally, through bibliometric mapping, we explored the co-occurrence networks for the most frequently used terms in melatonin research. A total of 20,768 documents were retrieved. Scientific production was better adjusted to linear growth (r = 0.9535) than exponential (r = 0.9313). The duplication time of the documents obtained was 14.2 years. The transience index was 62%, which indicates that most of the scientific production is due to very few authors. The signature rate per document was 1.95. Thirty-four journals made up the Bradford core, highlighting Journal of Pineal Research. USA and University of Texas present the highest production. Map network visualization shows the generated term map detailing on clusters of closely related terms. The growth of the scientific literature on melatonin was linear, with a very high rate of transience, which indicates the presence of numerous authors who sporadically publish on this topic. No evidence of a saturation point was observed. In the last 10 years, there has been a relevant increase in documents on melatonin.

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