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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 (#25 of 696)
  • High Attention Score compared to outputs of the same age (98th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

policy
4 policy sources
twitter
209 X users

Citations

dimensions_citation
161 Dimensions

Readers on

mendeley
355 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

X Demographics

X Demographics

The data shown below were collected from the profiles of 209 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 355 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 355 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 63 18%
Student > Master 48 14%
Researcher 43 12%
Student > Bachelor 27 8%
Student > Doctoral Student 23 6%
Other 65 18%
Unknown 86 24%
Readers by discipline Count As %
Social Sciences 131 37%
Business, Management and Accounting 28 8%
Computer Science 24 7%
Arts and Humanities 20 6%
Philosophy 10 3%
Other 44 12%
Unknown 98 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 141. 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 January 2023.
All research outputs
#297,454
of 25,721,020 outputs
Outputs from Big Data & Society
#25
of 696 outputs
Outputs of similar age
#6,141
of 326,277 outputs
Outputs of similar age from Big Data & Society
#2
of 7 outputs
Altmetric has tracked 25,721,020 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 696 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.9. This one has done particularly well, scoring higher than 96% 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 326,277 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 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.