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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 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#30 of 364)
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

news
2 news outlets
twitter
9 X users

Citations

dimensions_citation
28 Dimensions

Readers on

mendeley
73 Mendeley
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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

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 73 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 12%
Student > Master 7 10%
Student > Bachelor 7 10%
Professor 6 8%
Student > Doctoral Student 5 7%
Other 15 21%
Unknown 24 33%
Readers by discipline Count As %
Computer Science 10 14%
Business, Management and Accounting 9 12%
Engineering 7 10%
Social Sciences 4 5%
Arts and Humanities 2 3%
Other 10 14%
Unknown 31 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 28. 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
#1,289,894
of 24,336,902 outputs
Outputs from Journal of Big Data
#30
of 364 outputs
Outputs of similar age
#31,076
of 446,142 outputs
Outputs of similar age from Journal of Big Data
#4
of 21 outputs
Altmetric has tracked 24,336,902 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 364 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. This one has done particularly well, scoring higher than 92% 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 446,142 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 93% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.