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

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Abstract

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.

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Abbreviations

HCV:

Hepatitis C virus

XML:

Extensible Markup Language

PMID:

PubMed ID

BIDS:

Business intelligence studio

MeSH:

Medical subheadings

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Author contributions

Alam El-Din HM, did the work, and edited the manuscript. Ahmed AS, shared in the idea, and revised the manuscript. Hanora A, put the idea and revised the manuscript.

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Authors and Affiliations

  1. Information Systems Department, Faculty of Computers and Information, Helwan University, Cairo, Egypt

    Hanaa M. H. Alam El-Din & Ahmed Sharaf Eldin

  2. Virology and Immunology Unit, Cancer Biology Department, National Cancer Institute, Cairo University, 1st Kasr El-Aini St., Fom El-Khalig, PO Box 11796, Cairo, Egypt

    Hanaa M. H. Alam El-Din

  3. Microbiology and Immunology Department, Faculty of Pharmacy, Suez Canal University, Cairo, Egypt

    Amro M. S. A. Hanora

Authors
  1. Hanaa M. H. Alam El-Din
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  2. Ahmed Sharaf Eldin
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  3. Amro M. S. A. Hanora
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Correspondence to Hanaa M. H. Alam El-Din.

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Alam El-Din, H.M.H., Eldin, A.S. & Hanora, A.M.S.A. Bibliometric analysis of Egyptian publications on Hepatitis C virus from PubMed using data mining of an in-house developed database (HCVDBegy). Scientometrics 108, 895–915 (2016). https://doi.org/10.1007/s11192-016-2007-1

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  • DOI: https://doi.org/10.1007/s11192-016-2007-1

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