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Hierarchical Models in 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 (88th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

blogs
1 blog
reddit
1 Redditor

Citations

dimensions_citation
650 Dimensions

Readers on

mendeley
1208 Mendeley
citeulike
18 CiteULike
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Title
Hierarchical Models in the Brain
Published in
PLoS Computational Biology, November 2008
DOI 10.1371/journal.pcbi.1000211
Pubmed ID
Authors

Karl Friston

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1,208 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 23 2%
Germany 16 1%
United Kingdom 14 1%
Portugal 6 <1%
Switzerland 6 <1%
Japan 5 <1%
Netherlands 5 <1%
Italy 4 <1%
Australia 4 <1%
Other 32 3%
Unknown 1093 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 326 27%
Researcher 239 20%
Student > Master 128 11%
Student > Bachelor 85 7%
Professor 61 5%
Other 225 19%
Unknown 144 12%
Readers by discipline Count As %
Neuroscience 220 18%
Psychology 200 17%
Agricultural and Biological Sciences 140 12%
Computer Science 124 10%
Engineering 95 8%
Other 211 17%
Unknown 218 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 15 November 2008.
All research outputs
#3,761,295
of 25,420,980 outputs
Outputs from PLoS Computational Biology
#3,230
of 8,977 outputs
Outputs of similar age
#12,272
of 104,472 outputs
Outputs of similar age from PLoS Computational Biology
#10
of 47 outputs
Altmetric has tracked 25,420,980 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,977 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 gotten more attention than average, scoring higher than 63% 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 104,472 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 88% of its contemporaries.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.