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HSA: A Heuristic Splice Alignment Tool

Overview of attention for article published in BMC Systems Biology, December 2013
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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 (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

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7 X users
patent
1 patent

Citations

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9 Dimensions

Readers on

mendeley
24 Mendeley
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Title
HSA: A Heuristic Splice Alignment Tool
Published in
BMC Systems Biology, December 2013
DOI 10.1186/1752-0509-7-s2-s10
Pubmed ID
Authors

Jingde Bu, Xuebin Chi, Zhong Jin

Abstract

RNA-Seq methodology is a revolutionary transcriptomics sequencing technology, which is the representative of Next generation Sequencing (NGS). With the high throughput sequencing of RNA-Seq, we can acquire much more information like differential expression and novel splice variants from deep sequence analysis and data mining. But the short read length brings a great challenge to alignment, especially when the reads span two or more exons.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 29%
Researcher 5 21%
Student > Ph. D. Student 3 13%
Student > Postgraduate 2 8%
Professor 2 8%
Other 4 17%
Unknown 1 4%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 33%
Agricultural and Biological Sciences 7 29%
Immunology and Microbiology 2 8%
Computer Science 1 4%
Nursing and Health Professions 1 4%
Other 2 8%
Unknown 3 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 10 August 2017.
All research outputs
#4,561,389
of 22,736,112 outputs
Outputs from BMC Systems Biology
#141
of 1,142 outputs
Outputs of similar age
#51,099
of 286,036 outputs
Outputs of similar age from BMC Systems Biology
#4
of 60 outputs
Altmetric has tracked 22,736,112 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done well, scoring higher than 87% 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 286,036 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 82% of its contemporaries.
We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.