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Predicting referendum results in the Big Data Era

Overview of attention for article published in Journal of Big Data, January 2019
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#14 of 229)
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
2 news outlets
twitter
10 tweeters

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
54 Mendeley
Title
Predicting referendum results in the Big Data Era
Published in
Journal of Big Data, January 2019
DOI 10.1186/s40537-018-0166-z
Authors

Amaryllis Mavragani, Konstantinos P. Tsagarakis

Twitter Demographics

The data shown below were collected from the profiles of 10 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 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 54 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 7 13%
Professor 6 11%
Student > Master 6 11%
Researcher 5 9%
Student > Doctoral Student 4 7%
Other 12 22%
Unknown 14 26%
Readers by discipline Count As %
Computer Science 10 19%
Engineering 5 9%
Business, Management and Accounting 5 9%
Social Sciences 4 7%
Immunology and Microbiology 1 2%
Other 7 13%
Unknown 22 41%

Attention Score in Context

This research output has an Altmetric Attention Score of 30. 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 25 November 2019.
All research outputs
#752,420
of 16,275,012 outputs
Outputs from Journal of Big Data
#14
of 229 outputs
Outputs of similar age
#32,478
of 443,587 outputs
Outputs of similar age from Journal of Big Data
#1
of 32 outputs
Altmetric has tracked 16,275,012 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 229 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has done particularly well, scoring higher than 93% 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 443,587 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 92% of its contemporaries.
We're also able to compare this research output to 32 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 96% of its contemporaries.