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Decision Models and Technology Can Help Psychiatry Develop Biomarkers

Overview of attention for article published in Frontiers in Psychiatry, September 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (58th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

twitter
6 X users

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
36 Mendeley
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Title
Decision Models and Technology Can Help Psychiatry Develop Biomarkers
Published in
Frontiers in Psychiatry, September 2021
DOI 10.3389/fpsyt.2021.706655
Pubmed ID
Authors

Daniel S. Barron, Justin T. Baker, Kristin S. Budde, Danilo Bzdok, Simon B. Eickhoff, Karl J. Friston, Peter T. Fox, Paul Geha, Stephen Heisig, Avram Holmes, Jukka-Pekka Onnela, Albert Powers, David Silbersweig, John H. Krystal

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 25%
Student > Master 3 8%
Lecturer 2 6%
Unspecified 2 6%
Professor > Associate Professor 2 6%
Other 5 14%
Unknown 13 36%
Readers by discipline Count As %
Neuroscience 6 17%
Psychology 5 14%
Unspecified 2 6%
Biochemistry, Genetics and Molecular Biology 1 3%
Nursing and Health Professions 1 3%
Other 7 19%
Unknown 14 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 29 December 2021.
All research outputs
#12,910,813
of 22,780,165 outputs
Outputs from Frontiers in Psychiatry
#3,614
of 9,900 outputs
Outputs of similar age
#172,323
of 426,788 outputs
Outputs of similar age from Frontiers in Psychiatry
#174
of 611 outputs
Altmetric has tracked 22,780,165 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,900 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. This one has gotten more attention than average, scoring higher than 62% 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 426,788 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 58% of its contemporaries.
We're also able to compare this research output to 611 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 70% of its contemporaries.