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Algorithmic governance: Developing a research agenda through the power of collective intelligence

Overview of attention for article published in Big Data & Society, September 2017
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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 (#21 of 372)
  • High Attention Score compared to outputs of the same age (98th percentile)

Mentioned by

policy
1 policy source
twitter
221 tweeters

Citations

dimensions_citation
58 Dimensions

Readers on

mendeley
225 Mendeley
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Title
Algorithmic governance: Developing a research agenda through the power of collective intelligence
Published in
Big Data & Society, September 2017
DOI 10.1177/2053951717726554
Authors

John Danaher, Michael J Hogan, Chris Noone, Rónán Kennedy, Anthony Behan, Aisling De Paor, Heike Felzmann, Muki Haklay, Su-Ming Khoo, John Morison, Maria Helen Murphy, Niall O'Brolchain, Burkhard Schafer, Kalpana Shankar

Twitter Demographics

The data shown below were collected from the profiles of 221 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 225 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 225 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 42 19%
Student > Master 36 16%
Researcher 29 13%
Student > Bachelor 18 8%
Student > Doctoral Student 18 8%
Other 47 21%
Unknown 35 16%
Readers by discipline Count As %
Social Sciences 93 41%
Computer Science 18 8%
Arts and Humanities 15 7%
Business, Management and Accounting 14 6%
Philosophy 7 3%
Other 34 15%
Unknown 44 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 142. 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 13 April 2021.
All research outputs
#166,225
of 17,646,151 outputs
Outputs from Big Data & Society
#21
of 372 outputs
Outputs of similar age
#5,044
of 283,689 outputs
Outputs of similar age from Big Data & Society
#1
of 1 outputs
Altmetric has tracked 17,646,151 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 372 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 48.7. This one has done particularly well, scoring higher than 94% 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 283,689 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 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them