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Citation-based clustering of publications using CitNetExplorer and VOSviewer

Overview of attention for article published in Scientometrics, February 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

blogs
1 blog
twitter
15 X users

Citations

dimensions_citation
1228 Dimensions

Readers on

mendeley
1608 Mendeley
Title
Citation-based clustering of publications using CitNetExplorer and VOSviewer
Published in
Scientometrics, February 2017
DOI 10.1007/s11192-017-2300-7
Pubmed ID
Authors

Nees Jan van Eck, Ludo Waltman

Abstract

Clustering scientific publications in an important problem in bibliometric research. We demonstrate how two software tools, CitNetExplorer and VOSviewer, can be used to cluster publications and to analyze the resulting clustering solutions. CitNetExplorer is used to cluster a large set of publications in the field of astronomy and astrophysics. The publications are clustered based on direct citation relations. CitNetExplorer and VOSviewer are used together to analyze the resulting clustering solutions. Both tools use visualizations to support the analysis of the clustering solutions, with CitNetExplorer focusing on the analysis at the level of individual publications and VOSviewer focusing on the analysis at an aggregate level. The demonstration provided in this paper shows how a clustering of publications can be created and analyzed using freely available software tools. Using the approach presented in this paper, bibliometricians are able to carry out sophisticated cluster analyses without the need to have a deep knowledge of clustering techniques and without requiring advanced computer skills.

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1,608 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Russia 2 <1%
Netherlands 1 <1%
Canada 1 <1%
Unknown 1604 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 227 14%
Student > Master 132 8%
Researcher 113 7%
Student > Doctoral Student 101 6%
Lecturer 84 5%
Other 347 22%
Unknown 604 38%
Readers by discipline Count As %
Business, Management and Accounting 210 13%
Social Sciences 134 8%
Engineering 122 8%
Computer Science 81 5%
Economics, Econometrics and Finance 49 3%
Other 348 22%
Unknown 664 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 April 2022.
All research outputs
#1,868,551
of 23,577,654 outputs
Outputs from Scientometrics
#369
of 2,744 outputs
Outputs of similar age
#37,970
of 313,185 outputs
Outputs of similar age from Scientometrics
#16
of 70 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,744 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one has done well, scoring higher than 86% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 313,185 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 70 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.