Artículo

Worldwide Original Research Production on Maternal Near-Miss: A 10-year Bibliometric Study

Resumen

Objective To evaluate the global productivity regarding original articles on maternal near-miss (MNM). Methods We conducted a bibliometric analysis of original articles published from 2008 to November 2019 in the journals indexed in the Scopus database. The averages of the number of articles by author, of the number of authors by article, of the number of citations by article, and the total number of documents with one or more authors were obtained. An analysis of the co-citation of authors and a co- occurrence analysis of the terms included in the titles and abstracts were performed and were presented as network visualization maps. Results A total of 326 original articles were analyzed. There was an increase in the number of articles (p < 0.001; average annual growth rate = 12.54%). A total of 1,399 authors, an average number of articles per author of 4.29, with an index of authors per document of 0.23, and an index of co-authors per document of 8.16 were identified. A total of 85 countries contributed with original articles on MNM. Among the top ten countries regarding the contribution of articles, five were low and middle-income countries (LMICs). Brazil had the highest volume of production (31.1%), followed by the US (11.5%). Terms related to countries and the measurement of the rates and cases of MNM and the associated factors were found in recent years in the analysis of the cooccurrence of terms. Conclusion There was an increase in the production of original articles on MNM, with a significant participation of authors and institutions from LMICs, which reveals a growing interest in the use ofMNMindicators to improve the quality ofmaternal health care.
Zhao, Pan (57226505301); Zhang, Shuang (57212392211); Wang, Xiaona (55950809000); Sun, Haishu (57189887142); Guo, Yan (57203747850); Wang, Qunhui (57204324846); Sun, Xiaohong (55597259400)
Research Progress on Anaerobic Digestion of Cellulose Waste Based on Bibliometric Analysis
2023
10.3390/su152216060
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85199225353&doi=10.3390%2fsu152216060&partnerID=40&md5=0d86ceebb7a88d267b4be2c78c5540b9
Department of Environmental Science and Engineering, School of Energy and Environmental Engineering, University of Science and Technology Beijing, 30 Xueyuan Road, Haidian District, Beijing, 100083, China; Beijing Key Laboratory on Resource-Oriented Treatment of Industrial Pollutants, University of Science and Technology Beijing, 30 Xueyuan Road, Haidian District, Beijing, 100083, China; Beijing Agro-Biotechnology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China
All Open Access; Gold Open Access
Scopus
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