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 Table of Contents  
EDITORIAL
Year : 2018  |  Volume : 9  |  Issue : 1  |  Page : 1-2

Co-Citation Sources of Dental Hypotheses


Independent Research Scientist, Associate Editor of Dental Hypotheses, Isfahan, Iran

Date of Web Publication20-Apr-2018

Correspondence Address:
Jafar Kolahi
No. 24, Faree 15, Pardis, Shahin Shahr, Isfahan 83179-18981
Iran
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/denthyp.denthyp_6_18

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How to cite this article:
Kolahi J. Co-Citation Sources of Dental Hypotheses. Dent Hypotheses 2018;9:1-2

How to cite this URL:
Kolahi J. Co-Citation Sources of Dental Hypotheses. Dent Hypotheses [serial online] 2018 [cited 2018 Jul 17];9:1-2. Available from: http://www.dentalhypotheses.com/text.asp?2018/9/1/1/230701



Citation analysis is one of the most important aspects of bibliometrics. Classic citation analysis involves simple mathematical subtraction between the number of citations and the number of published articles. One of the integrating aspects of bibliometrics is co-citation analysis.[1] Co-citation occurred when two articles are cited together by another article. Co-citation analysis offers a progressive evaluation on article resemblance.

However, patterns, trends, and correlations might go undetected in classic citation analysis. Recent theoretical and technological advancements, based on network theory, allow us to go beyond the boundaries of traditional citation analysis. Network visualization could help scientists to understand the complex citation data by placing it in a visual context. However, I aimed to visualize the co-citation sources of articles published in Dental Hypotheses.

On February 2, 2018, Scopus was searched with the query SOURCE-ID (21100211710) to find the citation data of articles published in Dental Hypotheses. A total of 258 articles were detected, and results exported into a CSV file and analyzed by VOSviewer version 1.6.6 software (http://www.vosviewer.com/; Leiden University’s Centre for Science and Technology Studies).[2],[3] Full counting method was used, and the method for normalization was association strength. The minimum number of citations of a source was set at 26.

The analysis results showed that J Endod (186 citations and 3527 total link strength), Int Endod J (97 citations and 2642 total link strength), Oral Surg Oral Med Oral Pathol Oral Radiol (69 citations and 1539 total link strength), and J Dent Res (92 citations and 794 total link strength) had the most influence in the network. Co-citation network involved four clusters, which are represented with different colors [[Figure 1] and [Figure 2]]. An interesting observation was the presence of Med Hypotheses (28 citations and 146 total link strength) and Nature (26 citations and 99 total link strength) in the network, which are not dental journals.
Figure 1: Network visualization of the co-citation sources of Dental Hypotheses

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Figure 2: Density visualization of the co-citation sources of Dental Hypotheses. Red–yellow-green–blue color scheme was used which red corresponds with the highest co-citation density and blue corresponds with the lowest density

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Nevertheless, in this study, I have put in efforts to go beyond direct citation view and provide useful co-citation data for the readers. In future, the bibliographic coupling data of the journal will be discussed.



 
  References Top

1.
Boyack KW, Klavans R. Co-citation analysis, bibliographic coupling, and direct citation: Which citation approach represents the research front most accurately? J Am Soc Inf Sci Technol 2010;61:2389-404.  Back to cited text no. 1
    
2.
Van Eck NJ, Waltman L. Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics 2010;84:523-38.  Back to cited text no. 2
    
3.
Van Eck NJ, Waltman L. Text Mining and Visualization Using VOSviewer. Available from: https://pdfs.semanticscholar.org/eebd/8c9e1dce3656de1d6a2c92fa26d82087447e.pdf. [Last accessed on 2018 Feb 3].  Back to cited text no. 3
    


    Figures

  [Figure 1], [Figure 2]



 

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