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ModelDB

Overview of attention for article published in Neuroinformatics, January 2003
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About this Attention Score

  • High Attention Score compared to outputs of the same age (82nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
103 Dimensions

Readers on

mendeley
53 Mendeley
citeulike
2 CiteULike
connotea
1 Connotea
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Title
ModelDB
Published in
Neuroinformatics, January 2003
DOI 10.1385/ni:1:1:135
Pubmed ID
Authors

Michele Migliore, Thomas M. Morse, Andrew P. Davison, Luis Marenco, Gordon M. Shepherd, Michael L. Hines

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 4%
France 2 4%
Greece 2 4%
India 1 2%
Colombia 1 2%
Spain 1 2%
United States 1 2%
Unknown 43 81%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 28%
Student > Ph. D. Student 13 25%
Student > Postgraduate 4 8%
Student > Master 4 8%
Student > Doctoral Student 3 6%
Other 9 17%
Unknown 5 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 34%
Neuroscience 9 17%
Computer Science 9 17%
Engineering 3 6%
Medicine and Dentistry 3 6%
Other 6 11%
Unknown 5 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 18 February 2013.
All research outputs
#6,352,541
of 25,371,288 outputs
Outputs from Neuroinformatics
#112
of 424 outputs
Outputs of similar age
#24,381
of 136,766 outputs
Outputs of similar age from Neuroinformatics
#4
of 10 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 424 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 73% 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 136,766 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 82% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.