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FBAdLibrarian and Pykognition: open science tools for the collection and emotion detection of images in Facebook political ads with computer vision

Overview of attention for article published in Journal of Information Technology & Politics, May 2021
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#5 of 355)
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
1 news outlet
twitter
152 tweeters

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
22 Mendeley
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Title
FBAdLibrarian and Pykognition: open science tools for the collection and emotion detection of images in Facebook political ads with computer vision
Published in
Journal of Information Technology & Politics, May 2021
DOI 10.1080/19331681.2021.1928579
Authors

Rasmus Schmøkel, Michael Bossetta

Twitter Demographics

The data shown below were collected from the profiles of 152 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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 23%
Student > Ph. D. Student 4 18%
Unspecified 3 14%
Other 2 9%
Lecturer 1 5%
Other 3 14%
Unknown 4 18%
Readers by discipline Count As %
Social Sciences 7 32%
Arts and Humanities 3 14%
Economics, Econometrics and Finance 3 14%
Unspecified 1 5%
Computer Science 1 5%
Other 3 14%
Unknown 4 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 131. 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 June 2022.
All research outputs
#240,595
of 21,569,681 outputs
Outputs from Journal of Information Technology & Politics
#5
of 355 outputs
Outputs of similar age
#7,071
of 349,155 outputs
Outputs of similar age from Journal of Information Technology & Politics
#1
of 8 outputs
Altmetric has tracked 21,569,681 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 355 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.2. 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 349,155 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 97% of its contemporaries.
We're also able to compare this research output to 8 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