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A Hierarchy of Time-Scales and the Brain

Overview of attention for article published in PLoS Computational Biology, November 2008
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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 (95th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

blogs
2 blogs
twitter
3 X users
patent
2 patents
googleplus
1 Google+ user
reddit
1 Redditor

Citations

dimensions_citation
589 Dimensions

Readers on

mendeley
663 Mendeley
citeulike
25 CiteULike
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Title
A Hierarchy of Time-Scales and the Brain
Published in
PLoS Computational Biology, November 2008
DOI 10.1371/journal.pcbi.1000209
Pubmed ID
Authors

Stefan J. Kiebel, Jean Daunizeau, Karl J. Friston

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 663 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 22 3%
United Kingdom 10 2%
Germany 9 1%
France 5 <1%
Switzerland 5 <1%
Netherlands 3 <1%
Israel 2 <1%
Spain 2 <1%
Japan 2 <1%
Other 9 1%
Unknown 594 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 186 28%
Researcher 152 23%
Student > Master 60 9%
Student > Bachelor 54 8%
Professor 43 6%
Other 97 15%
Unknown 71 11%
Readers by discipline Count As %
Neuroscience 137 21%
Psychology 135 20%
Agricultural and Biological Sciences 94 14%
Computer Science 54 8%
Engineering 33 5%
Other 106 16%
Unknown 104 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 07 March 2022.
All research outputs
#1,732,123
of 25,371,288 outputs
Outputs from PLoS Computational Biology
#1,493
of 8,958 outputs
Outputs of similar age
#4,494
of 99,742 outputs
Outputs of similar age from PLoS Computational Biology
#7
of 44 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,958 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has done well, scoring higher than 83% 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 99,742 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 44 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.