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AIKYATAN: mapping distal regulatory elements using convolutional learning on GPU

Overview of attention for article published in BMC Bioinformatics, October 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

blogs
1 blog
twitter
6 tweeters

Readers on

mendeley
11 Mendeley
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Title
AIKYATAN: mapping distal regulatory elements using convolutional learning on GPU
Published in
BMC Bioinformatics, October 2019
DOI 10.1186/s12859-019-3049-1
Pubmed ID
Authors

Chih-Hao Fang, Nawanol Theera-Ampornpunt, Michael A. Roth, Ananth Grama, Somali Chaterji

Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 36%
Student > Master 2 18%
Librarian 1 9%
Other 1 9%
Researcher 1 9%
Other 1 9%
Unknown 1 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 27%
Biochemistry, Genetics and Molecular Biology 2 18%
Immunology and Microbiology 1 9%
Social Sciences 1 9%
Medicine and Dentistry 1 9%
Other 0 0%
Unknown 3 27%

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 09 October 2019.
All research outputs
#2,062,528
of 15,999,693 outputs
Outputs from BMC Bioinformatics
#822
of 5,796 outputs
Outputs of similar age
#52,713
of 273,856 outputs
Outputs of similar age from BMC Bioinformatics
#5
of 19 outputs
Altmetric has tracked 15,999,693 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,796 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one has done well, scoring higher than 85% 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 273,856 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 19 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 73% of its contemporaries.