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BS-Seeker2: a versatile aligning pipeline for bisulfite sequencing data

Overview of attention for article published in BMC Genomics, January 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

twitter
8 tweeters
googleplus
1 Google+ user

Citations

dimensions_citation
210 Dimensions

Readers on

mendeley
194 Mendeley
citeulike
2 CiteULike
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Title
BS-Seeker2: a versatile aligning pipeline for bisulfite sequencing data
Published in
BMC Genomics, January 2013
DOI 10.1186/1471-2164-14-774
Pubmed ID
Authors

Weilong Guo, Petko Fiziev, Weihong Yan, Shawn Cokus, Xueguang Sun, Michael Q Zhang, Pao-Yang Chen, Matteo Pellegrini

Abstract

DNA methylation is an important epigenetic modification involved in many biological processes. Bisulfite treatment coupled with high-throughput sequencing provides an effective approach for studying genome-wide DNA methylation at base resolution. Libraries such as whole genome bisulfite sequencing (WGBS) and reduced represented bisulfite sequencing (RRBS) are widely used for generating DNA methylomes, demanding efficient and versatile tools for aligning bisulfite sequencing data.

Twitter Demographics

The data shown below were collected from the profiles of 8 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 194 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 2%
Australia 2 1%
France 2 1%
Netherlands 2 1%
Brazil 1 <1%
Sweden 1 <1%
New Zealand 1 <1%
Switzerland 1 <1%
Unknown 180 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 57 29%
Researcher 50 26%
Student > Master 17 9%
Student > Bachelor 12 6%
Professor > Associate Professor 11 6%
Other 24 12%
Unknown 23 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 95 49%
Biochemistry, Genetics and Molecular Biology 41 21%
Computer Science 12 6%
Medicine and Dentistry 6 3%
Engineering 5 3%
Other 8 4%
Unknown 27 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 19 September 2017.
All research outputs
#2,917,600
of 12,373,620 outputs
Outputs from BMC Genomics
#1,563
of 7,313 outputs
Outputs of similar age
#37,746
of 173,707 outputs
Outputs of similar age from BMC Genomics
#8
of 32 outputs
Altmetric has tracked 12,373,620 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 7,313 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 78% 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 173,707 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 78% of its contemporaries.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.