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Skewer: a fast and accurate adapter trimmer for next-generation sequencing paired-end reads

Overview of attention for article published in BMC Bioinformatics, June 2014
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

blogs
3 blogs
twitter
49 X users
patent
2 patents
googleplus
1 Google+ user

Citations

dimensions_citation
1154 Dimensions

Readers on

mendeley
720 Mendeley
citeulike
4 CiteULike
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Title
Skewer: a fast and accurate adapter trimmer for next-generation sequencing paired-end reads
Published in
BMC Bioinformatics, June 2014
DOI 10.1186/1471-2105-15-182
Pubmed ID
Authors

Hongshan Jiang, Rong Lei, Shou-Wei Ding, Shuifang Zhu

X Demographics

X Demographics

The data shown below were collected from the profiles of 49 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 720 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 <1%
Germany 3 <1%
United Kingdom 3 <1%
Austria 1 <1%
Portugal 1 <1%
Sweden 1 <1%
Brazil 1 <1%
Czechia 1 <1%
Finland 1 <1%
Other 9 1%
Unknown 693 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 168 23%
Researcher 146 20%
Student > Master 93 13%
Student > Bachelor 68 9%
Student > Doctoral Student 36 5%
Other 75 10%
Unknown 134 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 244 34%
Biochemistry, Genetics and Molecular Biology 169 23%
Medicine and Dentistry 30 4%
Immunology and Microbiology 27 4%
Computer Science 23 3%
Other 68 9%
Unknown 159 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 46. 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 16 March 2023.
All research outputs
#921,002
of 25,837,817 outputs
Outputs from BMC Bioinformatics
#63
of 7,763 outputs
Outputs of similar age
#8,627
of 246,023 outputs
Outputs of similar age from BMC Bioinformatics
#2
of 154 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,763 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done particularly well, scoring higher than 99% 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 246,023 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 154 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 98% of its contemporaries.