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Automatic group-wise whole-brain short association fiber bundle labeling based on clustering and cortical surface information

Overview of attention for article published in BioMedical Engineering OnLine, June 2020
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
7 Mendeley
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Title
Automatic group-wise whole-brain short association fiber bundle labeling based on clustering and cortical surface information
Published in
BioMedical Engineering OnLine, June 2020
DOI 10.1186/s12938-020-00786-z
Pubmed ID
Authors

Andrea Vázquez, Narciso López-López, Josselin Houenou, Cyril Poupon, Jean-François Mangin, Susana Ladra, Pamela Guevara

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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 14%
Researcher 1 14%
Other 1 14%
Unknown 4 57%
Readers by discipline Count As %
Neuroscience 1 14%
Engineering 1 14%
Unknown 5 71%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 June 2020.
All research outputs
#14,495,127
of 24,319,828 outputs
Outputs from BioMedical Engineering OnLine
#361
of 845 outputs
Outputs of similar age
#206,342
of 402,218 outputs
Outputs of similar age from BioMedical Engineering OnLine
#6
of 13 outputs
Altmetric has tracked 24,319,828 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 845 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has gotten more attention than average, scoring higher than 55% 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 402,218 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.