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Early classification of multivariate temporal observations by extraction of interpretable shapelets

Overview of attention for article published in BMC Bioinformatics, August 2012
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1 X user

Citations

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76 Dimensions

Readers on

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93 Mendeley
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1 CiteULike
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Title
Early classification of multivariate temporal observations by extraction of interpretable shapelets
Published in
BMC Bioinformatics, August 2012
DOI 10.1186/1471-2105-13-195
Pubmed ID
Authors

Mohamed F Ghalwash, Zoran Obradovic

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Taiwan 1 1%
South Africa 1 1%
Unknown 89 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 26%
Researcher 17 18%
Student > Master 15 16%
Professor > Associate Professor 6 6%
Student > Bachelor 6 6%
Other 10 11%
Unknown 15 16%
Readers by discipline Count As %
Computer Science 41 44%
Engineering 7 8%
Agricultural and Biological Sciences 5 5%
Medicine and Dentistry 5 5%
Biochemistry, Genetics and Molecular Biology 3 3%
Other 10 11%
Unknown 22 24%
Attention Score in Context

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 14 August 2020.
All research outputs
#18,741,020
of 23,230,825 outputs
Outputs from BMC Bioinformatics
#6,393
of 7,358 outputs
Outputs of similar age
#128,925
of 167,618 outputs
Outputs of similar age from BMC Bioinformatics
#81
of 103 outputs
Altmetric has tracked 23,230,825 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,358 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 5th percentile – i.e., 5% 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 167,618 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 103 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.