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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Mapping single molecule sequencing reads using basic local alignment with successive refinement (BLASR): application and theory
|
|---|---|
| Published in |
BMC Bioinformatics, September 2012
|
| DOI | 10.1186/1471-2105-13-238 |
| Pubmed ID | |
| Authors |
Mark J Chaisson, Glenn Tesler |
X Demographics
The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 33% |
| United Kingdom | 1 | 7% |
| Germany | 1 | 7% |
| Canada | 1 | 7% |
| Japan | 1 | 7% |
| Sao Tome and Principe | 1 | 7% |
| Norway | 1 | 7% |
| Unknown | 4 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 11 | 73% |
| Members of the public | 4 | 27% |
Mendeley readers
The data shown below were compiled from readership statistics for 773 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 12 | 2% |
| Germany | 4 | <1% |
| United Kingdom | 4 | <1% |
| Japan | 3 | <1% |
| China | 2 | <1% |
| Belgium | 2 | <1% |
| France | 2 | <1% |
| Sweden | 2 | <1% |
| Ireland | 1 | <1% |
| Other | 13 | 2% |
| Unknown | 728 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 210 | 27% |
| Researcher | 141 | 18% |
| Student > Master | 101 | 13% |
| Student > Bachelor | 63 | 8% |
| Professor > Associate Professor | 39 | 5% |
| Other | 116 | 15% |
| Unknown | 103 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 296 | 38% |
| Biochemistry, Genetics and Molecular Biology | 178 | 23% |
| Computer Science | 88 | 11% |
| Immunology and Microbiology | 19 | 2% |
| Environmental Science | 17 | 2% |
| Other | 57 | 7% |
| Unknown | 118 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 29. 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 31 August 2023.
All research outputs
#1,360,307
of 26,017,215 outputs
Outputs from BMC Bioinformatics
#152
of 7,793 outputs
Outputs of similar age
#8,104
of 193,567 outputs
Outputs of similar age from BMC Bioinformatics
#2
of 94 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,793 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done particularly well, scoring higher than 97% 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 193,567 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 95% of its contemporaries.
We're also able to compare this research output to 94 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 97% of its contemporaries.