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BSMAP: whole genome bisulfite sequence MAPping program

Overview of attention for article published in BMC Bioinformatics, July 2009
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

patent
2 patents

Citations

dimensions_citation
448 Dimensions

Readers on

mendeley
469 Mendeley
citeulike
16 CiteULike
connotea
3 Connotea
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 469 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 15 3%
France 3 <1%
Germany 3 <1%
China 3 <1%
Italy 3 <1%
Switzerland 2 <1%
Spain 2 <1%
Norway 1 <1%
Belgium 1 <1%
Other 6 1%
Unknown 430 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 136 29%
Researcher 132 28%
Student > Master 55 12%
Professor > Associate Professor 27 6%
Student > Bachelor 26 6%
Other 93 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 261 56%
Biochemistry, Genetics and Molecular Biology 90 19%
Unspecified 36 8%
Computer Science 32 7%
Medicine and Dentistry 23 5%
Other 27 6%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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
#3,577,533
of 12,373,386 outputs
Outputs from BMC Bioinformatics
#1,717
of 4,576 outputs
Outputs of similar age
#28,057
of 89,681 outputs
Outputs of similar age from BMC Bioinformatics
#14
of 30 outputs
Altmetric has tracked 12,373,386 research outputs across all sources so far. This one is in the 49th percentile – i.e., 49% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,576 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 53% 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 89,681 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.