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A multi-level geographical study of italian political elections from twitter data.

Overview of attention for article published in PLoS ONE, May 2014
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
1 news outlet
twitter
135 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
20 Dimensions

Readers on

mendeley
52 Mendeley
citeulike
1 CiteULike
Title
A multi-level geographical study of italian political elections from twitter data.
Published in
PLoS ONE, May 2014
DOI 10.1371/journal.pone.0095809
Pubmed ID
Authors

Guido Caldarelli, Alessandro Chessa, Fabio Pammolli, Gabriele Pompa, Michelangelo Puliga, Massimo Riccaboni, Gianni Riotta

Abstract

In this paper we present an analysis of the behavior of Italian Twitter users during national political elections. We monitor the volumes of the tweets related to the leaders of the various political parties and we compare them to the elections results. Furthermore, we study the topics that are associated with the co-occurrence of two politicians in the same tweet. We cannot conclude, from a simple statistical analysis of tweet volume and their time evolution, that it is possible to precisely predict the election outcome (or at least not in our case of study that was characterized by a "too-close-to-call" scenario). On the other hand, we found that the volume of tweets and their change in time provide a very good proxy of the final results. We present this analysis both at a national level and at smaller levels, ranging from the regions composing the country to macro-areas (North, Center, South).

Twitter Demographics

The data shown below were collected from the profiles of 135 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 %
Italy 4 8%
Switzerland 2 4%
Spain 1 2%
United Kingdom 1 2%
Denmark 1 2%
United States 1 2%
Venezuela, Bolivarian Republic of 1 2%
Unknown 41 79%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 37%
Student > Master 8 15%
Researcher 7 13%
Professor 4 8%
Student > Postgraduate 4 8%
Other 10 19%
Readers by discipline Count As %
Computer Science 11 21%
Social Sciences 10 19%
Physics and Astronomy 7 13%
Unspecified 5 10%
Environmental Science 3 6%
Other 16 31%

Attention Score in Context

This research output has an Altmetric Attention Score of 119. 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 17 October 2015.
All research outputs
#97,099
of 11,594,154 outputs
Outputs from PLoS ONE
#2,196
of 128,412 outputs
Outputs of similar age
#1,884
of 186,867 outputs
Outputs of similar age from PLoS ONE
#85
of 3,603 outputs
Altmetric has tracked 11,594,154 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 128,412 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one has done particularly well, scoring higher than 98% 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 186,867 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 3,603 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.