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Predicting judicial decisions of the European Court of Human Rights: a Natural Language Processing perspective

Overview of attention for article published in PeerJ Computer Science, October 2016
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Mentioned by

news
64 news outlets
blogs
3 blogs
twitter
182 tweeters
facebook
3 Facebook pages
wikipedia
3 Wikipedia pages

Readers on

mendeley
52 Mendeley
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Title
Predicting judicial decisions of the European Court of Human Rights: a Natural Language Processing perspective
Published in
PeerJ Computer Science, October 2016
DOI 10.7717/peerj-cs.93
Authors

Nikolaos Aletras, Dimitrios Tsarapatsanis, Daniel Preoţiuc-Pietro, Vasileios Lampos, Aletras, Nikolaos, Tsarapatsanis, Dimitrios, Preoţiuc-Pietro, Daniel, Lampos, Vasileios, Xie, Lexing

Twitter Demographics

The data shown below were collected from the profiles of 182 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Russian Federation 1 2%
Germany 1 2%
Portugal 1 2%
Slovakia 1 2%
United Kingdom 1 2%
Brazil 1 2%
Poland 1 2%
Japan 1 2%
Ireland 1 2%
Other 1 2%
Unknown 42 81%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 31%
Student > Bachelor 10 19%
Student > Master 7 13%
Researcher 7 13%
Student > Doctoral Student 4 8%
Other 8 15%
Readers by discipline Count As %
Computer Science 20 38%
Social Sciences 20 38%
Psychology 3 6%
Business, Management and Accounting 2 4%
Economics, Econometrics and Finance 2 4%
Other 5 10%