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ClipCrop: a tool for detecting structural variations with single-base resolution using soft-clipping information

Overview of attention for article published in BMC Bioinformatics, December 2011
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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 (67th percentile)

Mentioned by

patent
2 patents

Citations

dimensions_citation
44 Dimensions

Readers on

mendeley
96 Mendeley
citeulike
1 CiteULike
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Title
ClipCrop: a tool for detecting structural variations with single-base resolution using soft-clipping information
Published in
BMC Bioinformatics, December 2011
DOI 10.1186/1471-2105-12-s14-s7
Pubmed ID
Authors

Shin Suzuki, Tomohiro Yasuda, Yuichi Shiraishi, Satoru Miyano, Masao Nagasaki

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
Germany 2 2%
Italy 2 2%
Netherlands 2 2%
United Kingdom 2 2%
Brazil 1 1%
Unknown 84 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 29%
Researcher 27 28%
Student > Bachelor 12 13%
Student > Master 9 9%
Student > Doctoral Student 5 5%
Other 9 9%
Unknown 6 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 56 58%
Biochemistry, Genetics and Molecular Biology 15 16%
Computer Science 8 8%
Medicine and Dentistry 3 3%
Physics and Astronomy 2 2%
Other 5 5%
Unknown 7 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 April 2020.
All research outputs
#4,803,842
of 23,205,257 outputs
Outputs from BMC Bioinformatics
#1,832
of 7,354 outputs
Outputs of similar age
#40,931
of 244,699 outputs
Outputs of similar age from BMC Bioinformatics
#30
of 100 outputs
Altmetric has tracked 23,205,257 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,354 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 73% 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 244,699 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 100 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 67% of its contemporaries.