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X Demographics
Mendeley readers
Attention Score in Context
Title |
BLAST+: architecture and applications
|
---|---|
Published in |
BMC Bioinformatics, December 2009
|
DOI | 10.1186/1471-2105-10-421 |
Pubmed ID | |
Authors |
Christiam Camacho, George Coulouris, Vahram Avagyan, Ning Ma, Jason Papadopoulos, Kevin Bealer, Thomas L Madden |
Abstract |
Sequence similarity searching is a very important bioinformatics task. While Basic Local Alignment Search Tool (BLAST) outperforms exact methods through its use of heuristics, the speed of the current BLAST software is suboptimal for very long queries or database sequences. There are also some shortcomings in the user-interface of the current command-line applications. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 2 | 33% |
United Kingdom | 2 | 33% |
Germany | 1 | 17% |
Unknown | 1 | 17% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 67% |
Scientists | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 7,246 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 50 | <1% |
Germany | 31 | <1% |
United Kingdom | 20 | <1% |
Brazil | 19 | <1% |
France | 14 | <1% |
Spain | 12 | <1% |
Australia | 8 | <1% |
Denmark | 8 | <1% |
Mexico | 8 | <1% |
Other | 77 | 1% |
Unknown | 6999 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 1640 | 23% |
Researcher | 1126 | 16% |
Student > Master | 964 | 13% |
Student > Bachelor | 790 | 11% |
Student > Doctoral Student | 383 | 5% |
Other | 857 | 12% |
Unknown | 1486 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 2397 | 33% |
Biochemistry, Genetics and Molecular Biology | 1780 | 25% |
Immunology and Microbiology | 254 | 4% |
Environmental Science | 209 | 3% |
Computer Science | 190 | 3% |
Other | 686 | 9% |
Unknown | 1730 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 67. 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 07 December 2023.
All research outputs
#603,731
of 24,411,829 outputs
Outputs from BMC Bioinformatics
#30
of 7,530 outputs
Outputs of similar age
#2,035
of 172,020 outputs
Outputs of similar age from BMC Bioinformatics
#1
of 58 outputs
Altmetric has tracked 24,411,829 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,530 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 99% 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 172,020 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 98% of its contemporaries.
We're also able to compare this research output to 58 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 99% of its contemporaries.