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The Structure of the EU Mediasphere

Overview of attention for article published in PLOS ONE, December 2010
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1 X user
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6 Wikipedia pages

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22 Dimensions

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51 Mendeley
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1 CiteULike
Title
The Structure of the EU Mediasphere
Published in
PLOS ONE, December 2010
DOI 10.1371/journal.pone.0014243
Pubmed ID
Authors

Ilias Flaounas, Marco Turchi, Omar Ali, Nick Fyson, Tijl De Bie, Nick Mosdell, Justin Lewis, Nello Cristianini

Abstract

A trend towards automation of scientific research has recently resulted in what has been termed "data-driven inquiry" in various disciplines, including physics and biology. The automation of many tasks has been identified as a possible future also for the humanities and the social sciences, particularly in those disciplines concerned with the analysis of text, due to the recent availability of millions of books and news articles in digital format. In the social sciences, the analysis of news media is done largely by hand and in a hypothesis-driven fashion: the scholar needs to formulate a very specific assumption about the patterns that might be in the data, and then set out to verify if they are present or not.

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X Demographics

The data shown below were collected from the profile of 1 X user 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 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Croatia 2 4%
United Kingdom 2 4%
Finland 1 2%
France 1 2%
Germany 1 2%
Spain 1 2%
Belgium 1 2%
Luxembourg 1 2%
Japan 1 2%
Other 0 0%
Unknown 40 78%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 24%
Student > Ph. D. Student 10 20%
Student > Bachelor 4 8%
Student > Master 4 8%
Other 4 8%
Other 6 12%
Unknown 11 22%
Readers by discipline Count As %
Social Sciences 11 22%
Computer Science 9 18%
Arts and Humanities 8 16%
Physics and Astronomy 3 6%
Business, Management and Accounting 2 4%
Other 6 12%
Unknown 12 24%