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TAPAS: An Open-Source Software Package for Translational Neuromodeling and Computational Psychiatry

Overview of attention for article published in Frontiers in Psychiatry, June 2021
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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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

twitter
49 X users

Readers on

mendeley
101 Mendeley
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Title
TAPAS: An Open-Source Software Package for Translational Neuromodeling and Computational Psychiatry
Published in
Frontiers in Psychiatry, June 2021
DOI 10.3389/fpsyt.2021.680811
Pubmed ID
Authors

Stefan Frässle, Eduardo A. Aponte, Saskia Bollmann, Kay H. Brodersen, Cao T., Olivia K. Harrison, Samuel J. Harrison, Jakob Heinzle, Sandra Iglesias, Lars Kasper, Ekaterina I. Lomakina, Christoph Mathys, Matthias Müller-Schrader, Inês Pereira, Frederike H. Petzschner, Sudhir Raman, Dario Schöbi, Birte Toussaint, Lilian A. Weber, Yu Yao, Klaas E. Stephan

X Demographics

X Demographics

The data shown below were collected from the profiles of 49 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 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 101 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 22%
Researcher 17 17%
Student > Master 16 16%
Student > Doctoral Student 5 5%
Student > Postgraduate 3 3%
Other 7 7%
Unknown 31 31%
Readers by discipline Count As %
Neuroscience 21 21%
Psychology 11 11%
Computer Science 5 5%
Agricultural and Biological Sciences 5 5%
Medicine and Dentistry 4 4%
Other 18 18%
Unknown 37 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 29. 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 24 November 2021.
All research outputs
#1,309,627
of 25,145,981 outputs
Outputs from Frontiers in Psychiatry
#765
of 12,335 outputs
Outputs of similar age
#33,163
of 440,163 outputs
Outputs of similar age from Frontiers in Psychiatry
#44
of 638 outputs
Altmetric has tracked 25,145,981 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,335 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.3. This one has done particularly well, scoring higher than 93% 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 440,163 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 92% of its contemporaries.
We're also able to compare this research output to 638 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 93% of its contemporaries.