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The UCLA multimodal connectivity database: a web-based platform for brain connectivity matrix sharing and analysis

Overview of attention for article published in Frontiers in Neuroinformatics, January 2012
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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 (87th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

twitter
10 X users
facebook
1 Facebook page
googleplus
1 Google+ user

Readers on

mendeley
230 Mendeley
citeulike
2 CiteULike
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Title
The UCLA multimodal connectivity database: a web-based platform for brain connectivity matrix sharing and analysis
Published in
Frontiers in Neuroinformatics, January 2012
DOI 10.3389/fninf.2012.00028
Pubmed ID
Authors

Jesse A. Brown, Jeffrey D. Rudie, Anita Bandrowski, John D. Van Horn, Susan Y. Bookheimer

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 230 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 3%
Germany 1 <1%
France 1 <1%
Finland 1 <1%
Cuba 1 <1%
Japan 1 <1%
United Kingdom 1 <1%
Unknown 217 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 49 21%
Student > Ph. D. Student 43 19%
Student > Master 31 13%
Professor 14 6%
Student > Bachelor 14 6%
Other 42 18%
Unknown 37 16%
Readers by discipline Count As %
Psychology 37 16%
Neuroscience 34 15%
Computer Science 24 10%
Medicine and Dentistry 20 9%
Agricultural and Biological Sciences 20 9%
Other 48 21%
Unknown 47 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 10 April 2013.
All research outputs
#3,598,011
of 22,687,320 outputs
Outputs from Frontiers in Neuroinformatics
#201
of 743 outputs
Outputs of similar age
#30,452
of 244,125 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#5
of 24 outputs
Altmetric has tracked 22,687,320 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 743 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.3. 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 244,125 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 87% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.