↓ Skip to main content

BSMAP: whole genome bisulfite sequence MAPping program

Overview of attention for article published in BMC Bioinformatics, July 2009
Altmetric Badge

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 (84th percentile)

Mentioned by

patent
5 patents
wikipedia
1 Wikipedia page

Citations

dimensions_citation
838 Dimensions

Readers on

mendeley
607 Mendeley
citeulike
16 CiteULike
connotea
3 Connotea
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
BSMAP: whole genome bisulfite sequence MAPping program
Published in
BMC Bioinformatics, July 2009
DOI 10.1186/1471-2105-10-232
Pubmed ID
Authors

Yuanxin Xi, Wei Li

Abstract

Bisulfite sequencing is a powerful technique to study DNA cytosine methylation. Bisulfite treatment followed by PCR amplification specifically converts unmethylated cytosines to thymine. Coupled with next generation sequencing technology, it is able to detect the methylation status of every cytosine in the genome. However, mapping high-throughput bisulfite reads to the reference genome remains a great challenge due to the increased searching space, reduced complexity of bisulfite sequence, asymmetric cytosine to thymine alignments, and multiple CpG heterogeneous methylation.

Mendeley readers

The data shown below were compiled from readership statistics for 607 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 15 2%
France 3 <1%
Italy 3 <1%
Switzerland 2 <1%
Germany 2 <1%
China 2 <1%
Spain 2 <1%
Singapore 1 <1%
Belgium 1 <1%
Other 5 <1%
Unknown 571 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 161 27%
Researcher 151 25%
Student > Master 65 11%
Student > Bachelor 40 7%
Student > Doctoral Student 30 5%
Other 87 14%
Unknown 73 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 277 46%
Biochemistry, Genetics and Molecular Biology 126 21%
Computer Science 37 6%
Medicine and Dentistry 26 4%
Neuroscience 11 2%
Other 40 7%
Unknown 90 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 17 June 2021.
All research outputs
#3,015,191
of 21,360,625 outputs
Outputs from BMC Bioinformatics
#1,171
of 6,941 outputs
Outputs of similar age
#15,240
of 110,285 outputs
Outputs of similar age from BMC Bioinformatics
#1
of 1 outputs
Altmetric has tracked 21,360,625 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,941 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 done well, scoring higher than 82% 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 110,285 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 84% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them