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A human brain network derived from coma-causing brainstem lesions

Overview of attention for article published in Neurology, November 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
37 news outlets
blogs
12 blogs
twitter
208 X users
patent
1 patent
facebook
11 Facebook pages
wikipedia
3 Wikipedia pages
googleplus
75 Google+ users
reddit
1 Redditor
q&a
1 Q&A thread

Citations

dimensions_citation
203 Dimensions

Readers on

mendeley
328 Mendeley
citeulike
1 CiteULike
Title
A human brain network derived from coma-causing brainstem lesions
Published in
Neurology, November 2016
DOI 10.1212/wnl.0000000000003404
Pubmed ID
Authors

David B Fischer, Aaron D Boes, Athena Demertzi, Henry C Evrard, Steven Laureys, Brian L Edlow, Hesheng Liu, Clifford B Saper, Alvaro Pascual-Leone, Michael D Fox, Joel C Geerling

X Demographics

X Demographics

The data shown below were collected from the profiles of 208 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 328 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 <1%
Canada 3 <1%
France 1 <1%
Uruguay 1 <1%
Netherlands 1 <1%
United Kingdom 1 <1%
Spain 1 <1%
Luxembourg 1 <1%
Unknown 316 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 65 20%
Student > Ph. D. Student 48 15%
Student > Master 40 12%
Student > Bachelor 32 10%
Other 26 8%
Other 62 19%
Unknown 55 17%
Readers by discipline Count As %
Neuroscience 96 29%
Medicine and Dentistry 56 17%
Psychology 39 12%
Agricultural and Biological Sciences 18 5%
Engineering 11 3%
Other 33 10%
Unknown 75 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 568. 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 01 May 2024.
All research outputs
#42,841
of 25,893,933 outputs
Outputs from Neurology
#139
of 21,193 outputs
Outputs of similar age
#846
of 319,118 outputs
Outputs of similar age from Neurology
#4
of 288 outputs
Altmetric has tracked 25,893,933 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 21,193 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.8. This one has done particularly well, scoring higher than 99% 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 319,118 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 99% of its contemporaries.
We're also able to compare this research output to 288 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.