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Mendeley readers
Attention Score in Context
| Title |
BFAST: An Alignment Tool for Large Scale Genome Resequencing
|
|---|---|
| Published in |
PLOS ONE, November 2009
|
| DOI | 10.1371/journal.pone.0007767 |
| Pubmed ID | |
| Authors |
Nils Homer, Barry Merriman, Stanley F. Nelson |
| Abstract |
The new generation of massively parallel DNA sequencers, combined with the challenge of whole human genome resequencing, result in the need for rapid and accurate alignment of billions of short DNA sequence reads to a large reference genome. Speed is obviously of great importance, but equally important is maintaining alignment accuracy of short reads, in the 25-100 base range, in the presence of errors and true biological variation. |
Mendeley readers
The data shown below were compiled from readership statistics for 597 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 17 | 3% |
| Brazil | 9 | 2% |
| United Kingdom | 8 | 1% |
| Netherlands | 7 | 1% |
| France | 7 | 1% |
| Spain | 7 | 1% |
| Italy | 5 | <1% |
| Norway | 4 | <1% |
| Belgium | 4 | <1% |
| Other | 20 | 3% |
| Unknown | 509 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 186 | 31% |
| Student > Ph. D. Student | 136 | 23% |
| Student > Master | 67 | 11% |
| Other | 33 | 6% |
| Professor > Associate Professor | 28 | 5% |
| Other | 108 | 18% |
| Unknown | 39 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 333 | 56% |
| Computer Science | 70 | 12% |
| Biochemistry, Genetics and Molecular Biology | 64 | 11% |
| Medicine and Dentistry | 28 | 5% |
| Engineering | 11 | 2% |
| Other | 42 | 7% |
| Unknown | 49 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 16 April 2024.
All research outputs
#2,691,907
of 23,394,907 outputs
Outputs from PLOS ONE
#33,873
of 200,046 outputs
Outputs of similar age
#9,582
of 94,839 outputs
Outputs of similar age from PLOS ONE
#103
of 554 outputs
Altmetric has tracked 23,394,907 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 200,046 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.3. 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 94,839 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 89% of its contemporaries.
We're also able to compare this research output to 554 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.