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Endogenous variation in ventromedial prefrontal cortex state dynamics during naturalistic viewing reflects affective experience

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

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

twitter
101 tweeters

Citations

dimensions_citation
23 Dimensions

Readers on

mendeley
104 Mendeley
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Title
Endogenous variation in ventromedial prefrontal cortex state dynamics during naturalistic viewing reflects affective experience
Published in
bioRxiv
DOI 10.1101/487892
Authors

Chang, Luke J., Jolly, Eshin, Cheong, Jin Hyun, Rapuano, Kristina M., Greenstein, Nathan, Chen, Pin-Hao A., Manning, Jeremy R.

Twitter Demographics

The data shown below were collected from the profiles of 101 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 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 104 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 20%
Student > Ph. D. Student 18 17%
Student > Master 9 9%
Student > Doctoral Student 6 6%
Student > Bachelor 4 4%
Other 8 8%
Unknown 38 37%
Readers by discipline Count As %
Psychology 25 24%
Neuroscience 17 16%
Agricultural and Biological Sciences 4 4%
Computer Science 2 2%
Arts and Humanities 1 <1%
Other 5 5%
Unknown 50 48%

Attention Score in Context

This research output has an Altmetric Attention Score of 59. 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 22 December 2020.
All research outputs
#453,519
of 17,843,674 outputs
Outputs from bioRxiv
#3,795
of 122,925 outputs
Outputs of similar age
#14,225
of 349,939 outputs
Outputs of similar age from bioRxiv
#153
of 5,712 outputs
Altmetric has tracked 17,843,674 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 122,925 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one has done particularly well, scoring higher than 96% 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 349,939 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 95% of its contemporaries.
We're also able to compare this research output to 5,712 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.