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Automatic migraine classification via feature selection committee and machine learning techniques over imaging and questionnaire data

Overview of attention for article published in BMC Medical Informatics and Decision Making, April 2017
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Mentioned by

twitter
1 tweeter

Citations

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31 Dimensions

Readers on

mendeley
74 Mendeley
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Title
Automatic migraine classification via feature selection committee and machine learning techniques over imaging and questionnaire data
Published in
BMC Medical Informatics and Decision Making, April 2017
DOI 10.1186/s12911-017-0434-4
Pubmed ID
Authors

Yolanda Garcia-Chimeno, Begonya Garcia-Zapirain, Marian Gomez-Beldarrain, Begonya Fernandez-Ruanova, Juan Carlos Garcia-Monco

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 1%
Unknown 73 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 20%
Researcher 12 16%
Student > Ph. D. Student 8 11%
Student > Doctoral Student 6 8%
Student > Bachelor 5 7%
Other 8 11%
Unknown 20 27%
Readers by discipline Count As %
Medicine and Dentistry 13 18%
Computer Science 11 15%
Neuroscience 10 14%
Engineering 6 8%
Agricultural and Biological Sciences 3 4%
Other 8 11%
Unknown 23 31%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 04 November 2020.
All research outputs
#17,052,420
of 19,280,406 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,587
of 1,715 outputs
Outputs of similar age
#331,404
of 390,476 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#148
of 166 outputs
Altmetric has tracked 19,280,406 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,715 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 390,476 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 166 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.