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Brain-Inspired Affective Empathy Computational Model and Its Application on Altruistic Rescue Task

Overview of attention for article published in Frontiers in Computational Neuroscience, July 2022
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  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
4 X users

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
15 Mendeley
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Title
Brain-Inspired Affective Empathy Computational Model and Its Application on Altruistic Rescue Task
Published in
Frontiers in Computational Neuroscience, July 2022
DOI 10.3389/fncom.2022.784967
Pubmed ID
Authors

Hui Feng, Yi Zeng, Enmeng Lu

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 3 20%
Student > Ph. D. Student 2 13%
Student > Doctoral Student 1 7%
Unknown 9 60%
Readers by discipline Count As %
Unspecified 3 20%
Arts and Humanities 1 7%
Neuroscience 1 7%
Engineering 1 7%
Unknown 9 60%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 31 July 2022.
All research outputs
#16,326,972
of 25,782,229 outputs
Outputs from Frontiers in Computational Neuroscience
#746
of 1,475 outputs
Outputs of similar age
#221,998
of 436,893 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#21
of 42 outputs
Altmetric has tracked 25,782,229 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,475 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one is in the 45th percentile – i.e., 45% of its peers scored the same or lower than it.
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 436,893 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.