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Computational meta‐analysis of statistical parametric maps in major depression

Overview of attention for article published in Human Brain Mapping, February 2016
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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 (81st percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

twitter
9 X users
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
144 Dimensions

Readers on

mendeley
218 Mendeley
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Title
Computational meta‐analysis of statistical parametric maps in major depression
Published in
Human Brain Mapping, February 2016
DOI 10.1002/hbm.23108
Pubmed ID
Authors

Danilo Arnone, Dominic Job, Sudhakar Selvaraj, Osamu Abe, Francesco Amico, Yuqi Cheng, Sean J Colloby, John T O'Brien, Thomas Frodl, Ian H Gotlib, Byung-Joo Ham, M Justin Kim, P Cédric M P Koolschijn, Cintia A-M Périco, Giacomo Salvadore, Alan J Thomas, Marie-José Van Tol, Nic J A van der Wee, Dick J Veltman, Gerd Wagner, Andrew M McIntosh

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 218 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 1 <1%
United States 1 <1%
Germany 1 <1%
Unknown 215 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 44 20%
Researcher 34 16%
Student > Master 19 9%
Student > Bachelor 19 9%
Professor > Associate Professor 14 6%
Other 40 18%
Unknown 48 22%
Readers by discipline Count As %
Psychology 41 19%
Neuroscience 37 17%
Medicine and Dentistry 28 13%
Agricultural and Biological Sciences 9 4%
Computer Science 5 2%
Other 19 9%
Unknown 79 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 16 March 2024.
All research outputs
#4,459,880
of 25,765,370 outputs
Outputs from Human Brain Mapping
#1,233
of 4,440 outputs
Outputs of similar age
#72,218
of 409,920 outputs
Outputs of similar age from Human Brain Mapping
#26
of 85 outputs
Altmetric has tracked 25,765,370 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,440 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. 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 409,920 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 81% of its contemporaries.
We're also able to compare this research output to 85 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 69% of its contemporaries.