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Support vector machine-based classification of Alzheimer’s disease from whole-brain anatomical MRI

Overview of attention for article published in Neuroradiology, October 2008
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Mentioned by

wikipedia
2 Wikipedia pages

Citations

dimensions_citation
391 Dimensions

Readers on

mendeley
302 Mendeley
Title
Support vector machine-based classification of Alzheimer’s disease from whole-brain anatomical MRI
Published in
Neuroradiology, October 2008
DOI 10.1007/s00234-008-0463-x
Pubmed ID
Authors

Benoît Magnin, Lilia Mesrob, Serge Kinkingnéhun, Mélanie Pélégrini-Issac, Olivier Colliot, Marie Sarazin, Bruno Dubois, Stéphane Lehéricy, Habib Benali

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 302 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 4 1%
Portugal 1 <1%
Colombia 1 <1%
Netherlands 1 <1%
Indonesia 1 <1%
France 1 <1%
Norway 1 <1%
Italy 1 <1%
United Kingdom 1 <1%
Other 4 1%
Unknown 286 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 73 24%
Researcher 51 17%
Student > Master 46 15%
Professor > Associate Professor 17 6%
Student > Bachelor 16 5%
Other 51 17%
Unknown 48 16%
Readers by discipline Count As %
Computer Science 62 21%
Engineering 51 17%
Medicine and Dentistry 31 10%
Psychology 27 9%
Neuroscience 26 9%
Other 43 14%
Unknown 62 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 20 November 2018.
All research outputs
#7,454,951
of 22,790,780 outputs
Outputs from Neuroradiology
#303
of 1,392 outputs
Outputs of similar age
#32,150
of 90,238 outputs
Outputs of similar age from Neuroradiology
#2
of 2 outputs
Altmetric has tracked 22,790,780 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,392 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 62% 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 90,238 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.