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Article Metrics

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 (84th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

twitter
21 tweeters

Readers on

mendeley
17 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 21 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 24%
Student > Ph. D. Student 3 18%
Researcher 2 12%
Professor > Associate Professor 2 12%
Other 1 6%
Other 3 18%
Unknown 2 12%
Readers by discipline Count As %
Neuroscience 4 24%
Psychology 4 24%
Agricultural and Biological Sciences 1 6%
Decision Sciences 1 6%
Business, Management and Accounting 1 6%
Other 0 0%
Unknown 6 35%

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 07 August 2019.
All research outputs
#1,347,275
of 14,229,176 outputs
Outputs from bioRxiv
#18,873
of 69,884 outputs
Outputs of similar age
#38,762
of 254,014 outputs
Outputs of similar age from bioRxiv
#1,631
of 7,265 outputs
Altmetric has tracked 14,229,176 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 69,884 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 72% 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 254,014 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 84% of its contemporaries.
We're also able to compare this research output to 7,265 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.