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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

  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
7 tweeters
googleplus
1 Google+ user

Citations

dimensions_citation
244 Dimensions

Readers on

mendeley
202 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 7 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 202 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 188 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 59 29%
Researcher 51 25%
Student > Master 18 9%
Student > Bachelor 13 6%
Student > Doctoral Student 11 5%
Other 25 12%
Unknown 25 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 97 48%
Biochemistry, Genetics and Molecular Biology 43 21%
Computer Science 12 6%
Medicine and Dentistry 6 3%
Engineering 5 2%
Other 10 5%
Unknown 29 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
#4,711,347
of 17,897,867 outputs
Outputs from BMC Genomics
#2,136
of 9,467 outputs
Outputs of similar age
#49,235
of 197,419 outputs
Outputs of similar age from BMC Genomics
#5
of 10 outputs
Altmetric has tracked 17,897,867 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 9,467 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done well, scoring higher than 77% 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 197,419 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.