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Inter-subject representational similarity analysis reveals individual variations in affective experience when watching erotic movies

Overview of attention for article published in bioRxiv
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

twitter
25 tweeters

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
12 Mendeley
Title
Inter-subject representational similarity analysis reveals individual variations in affective experience when watching erotic movies
Published in
bioRxiv
DOI 10.1101/726570
Authors

Chen, Pin-Hao Andy, Jolly, Eshin, Cheong, Jin Hyun, Chang, Luke J

Twitter Demographics

The data shown below were collected from the profiles of 25 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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 25%
Student > Master 2 17%
Researcher 2 17%
Student > Doctoral Student 1 8%
Student > Postgraduate 1 8%
Other 0 0%
Unknown 3 25%
Readers by discipline Count As %
Psychology 3 25%
Neuroscience 2 17%
Decision Sciences 1 8%
Agricultural and Biological Sciences 1 8%
Unknown 5 42%

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 26 April 2020.
All research outputs
#1,527,434
of 16,196,653 outputs
Outputs from bioRxiv
#24,547
of 102,036 outputs
Outputs of similar age
#38,695
of 264,309 outputs
Outputs of similar age from bioRxiv
#1,510
of 7,264 outputs
Altmetric has tracked 16,196,653 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 102,036 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.5. This one has done well, scoring higher than 75% 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 264,309 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 7,264 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.