| 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 652 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 | 616 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 163 | 25% |
| Researcher | 158 | 24% |
| Student > Master | 71 | 11% |
| Student > Bachelor | 41 | 6% |
| Student > Doctoral Student | 33 | 5% |
| Other | 90 | 14% |
| Unknown | 96 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 283 | 43% |
| Biochemistry, Genetics and Molecular Biology | 136 | 21% |
| Computer Science | 37 | 6% |
| Medicine and Dentistry | 27 | 4% |
| Neuroscience | 11 | 2% |
| Other | 45 | 7% |
| Unknown | 113 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 14 December 2023.
All research outputs
#2,391,370
of 24,778,793 outputs
Outputs from BMC Bioinformatics
#604
of 7,587 outputs
Outputs of similar age
#8,305
of 117,030 outputs
Outputs of similar age from BMC Bioinformatics
#4
of 32 outputs
Altmetric has tracked 24,778,793 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,587 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 92% 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 117,030 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 92% 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 particularly well, scoring higher than 90% of its contemporaries.