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X Demographics
Mendeley readers
Attention Score in Context
Title |
pblat: a multithread blat algorithm speeding up aligning sequences to genomes
|
---|---|
Published in |
BMC Bioinformatics, January 2019
|
DOI | 10.1186/s12859-019-2597-8 |
Pubmed ID | |
Authors |
Meng Wang, Lei Kong |
X Demographics
The data shown below were collected from the profiles of 10 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 | 20% |
United States | 1 | 10% |
Spain | 1 | 10% |
United Kingdom | 1 | 10% |
Unknown | 5 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 60% |
Scientists | 4 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 51 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 15 | 29% |
Student > Master | 6 | 12% |
Researcher | 5 | 10% |
Student > Doctoral Student | 4 | 8% |
Student > Bachelor | 3 | 6% |
Other | 9 | 18% |
Unknown | 9 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 15 | 29% |
Agricultural and Biological Sciences | 11 | 22% |
Computer Science | 5 | 10% |
Immunology and Microbiology | 2 | 4% |
Environmental Science | 1 | 2% |
Other | 4 | 8% |
Unknown | 13 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 06 February 2019.
All research outputs
#7,029,172
of 25,381,783 outputs
Outputs from BMC Bioinformatics
#2,488
of 7,682 outputs
Outputs of similar age
#145,847
of 484,281 outputs
Outputs of similar age from BMC Bioinformatics
#62
of 192 outputs
Altmetric has tracked 25,381,783 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 7,682 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 gotten more attention than average, scoring higher than 66% 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 484,281 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 192 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.