Bibliometric analysis of Egyptian publications on Hepatitis C virus from PubMed using data mining of an in-house developed database (HCVDBegy)

Autor: Amro Hanora, Ahmed Sharaf Eldin, Hanaa M. Alam El-Din
Rok vydání: 2016
Předmět:
Zdroj: Scientometrics. 108:895-915
ISSN: 1588-2861
0138-9130
Popis: Bibliometric analysis of Egyptian literature on HCV provides the intelligence needed for decision makers and gives an insight into research productivity in this area. We propose our database (HCVDBegy) on MS-SQL server by querying PubMed for "HCV and Egypt" with time limit till 31st March 2013. Fifty eight out of the 716 records were excluded and the rest 658 were divided into 22 domains. Analysis used data mining add-ins for Microsoft Excel, including association and regression algorithms. A fluctuation in numbers of papers was noticed from 2004 to 2009 with a steady increase onward. Eighty six percent of publications were the contribution of three or more authors. Top publishing bodies were Cairo and Ain Shams Universities, Faculty of Medicine, National Research Center and National Cancer Institute. Three Egyptian journals came on top, whereas other publishing journals were mainly from the USA. Few controlled clinical trials and meta-analyses were published. HCV epidemiology, review articles and sequence analysis domains were the most cited. Forecasting model showed a breakthrough in numbers of publications on 2013 and 2014 than those forecasted. Dependency network based on association rule model of MeSH topics was also extensively analyzed. Number of publications showed a promising increase which points to the better national awareness of HCV problem. Studying MeSH terms clustering showed some hot topics. We recommend that the PubMed should alarm authors of the challenges of author affiliations. HCVDBegy availability opens the door for more drill down analysis for decision makers.
Databáze: OpenAIRE
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