↓ Skip to main content

Computational analysis of probabilistic reversal learning deficits in male subjects with alcohol use disorder

Overview of attention for article published in Frontiers in Psychiatry, October 2022
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (57th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

twitter
4 X users

Readers on

mendeley
14 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Computational analysis of probabilistic reversal learning deficits in male subjects with alcohol use disorder
Published in
Frontiers in Psychiatry, October 2022
DOI 10.3389/fpsyt.2022.960238
Pubmed ID
Authors

Başak Bağci, Selin Düsmez, Nabi Zorlu, Gökhan Bahtiyar, Serhan Isikli, Adem Bayrakci, Andreas Heinz, Daniel J. Schad, Miriam Sebold

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 14%
Researcher 2 14%
Librarian 1 7%
Unspecified 1 7%
Student > Master 1 7%
Other 0 0%
Unknown 7 50%
Readers by discipline Count As %
Psychology 3 21%
Unspecified 1 7%
Neuroscience 1 7%
Engineering 1 7%
Unknown 8 57%
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 19 October 2022.
All research outputs
#13,891,094
of 23,555,482 outputs
Outputs from Frontiers in Psychiatry
#4,352
of 10,672 outputs
Outputs of similar age
#181,762
of 445,362 outputs
Outputs of similar age from Frontiers in Psychiatry
#182
of 766 outputs
Altmetric has tracked 23,555,482 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,672 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.8. This one has gotten more attention than average, scoring higher than 57% 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 445,362 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 57% of its contemporaries.
We're also able to compare this research output to 766 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.