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When It’s Good to Feel Bad: An Evolutionary Model of Guilt and Apology

Overview of attention for article published in Frontiers in Robotics and AI, March 2018
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
7 X users

Citations

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12 Dimensions

Readers on

mendeley
20 Mendeley
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Title
When It’s Good to Feel Bad: An Evolutionary Model of Guilt and Apology
Published in
Frontiers in Robotics and AI, March 2018
DOI 10.3389/frobt.2018.00009
Pubmed ID
Authors

Sarita Rosenstock, Cailin O’Connor

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 25%
Student > Master 4 20%
Researcher 3 15%
Student > Doctoral Student 3 15%
Professor 1 5%
Other 2 10%
Unknown 2 10%
Readers by discipline Count As %
Psychology 6 30%
Computer Science 4 20%
Agricultural and Biological Sciences 2 10%
Arts and Humanities 1 5%
Philosophy 1 5%
Other 3 15%
Unknown 3 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 14 October 2022.
All research outputs
#7,020,895
of 24,885,505 outputs
Outputs from Frontiers in Robotics and AI
#453
of 1,703 outputs
Outputs of similar age
#115,418
of 337,019 outputs
Outputs of similar age from Frontiers in Robotics and AI
#22
of 40 outputs
Altmetric has tracked 24,885,505 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 1,703 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.6. This one has gotten more attention than average, scoring higher than 73% 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 337,019 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.