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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Efficient counting of k-mers in DNA sequences using a bloom filter
|
|---|---|
| Published in |
BMC Bioinformatics, August 2011
|
| DOI | 10.1186/1471-2105-12-333 |
| Pubmed ID | |
| Authors |
Páll Melsted, Jonathan K Pritchard |
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 % |
|---|---|---|
| Denmark | 1 | 17% |
| India | 1 | 17% |
| Libya | 1 | 17% |
| Japan | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 340 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 9 | 3% |
| France | 4 | 1% |
| Brazil | 4 | 1% |
| Germany | 3 | <1% |
| Spain | 2 | <1% |
| Netherlands | 2 | <1% |
| Norway | 1 | <1% |
| Kenya | 1 | <1% |
| Italy | 1 | <1% |
| Other | 11 | 3% |
| Unknown | 302 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 87 | 26% |
| Researcher | 72 | 21% |
| Student > Master | 40 | 12% |
| Student > Bachelor | 34 | 10% |
| Professor > Associate Professor | 15 | 4% |
| Other | 48 | 14% |
| Unknown | 44 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 135 | 40% |
| Computer Science | 77 | 23% |
| Biochemistry, Genetics and Molecular Biology | 40 | 12% |
| Engineering | 16 | 5% |
| Mathematics | 3 | <1% |
| Other | 19 | 6% |
| Unknown | 50 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 25. 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 20 May 2021.
All research outputs
#1,340,813
of 23,023,224 outputs
Outputs from BMC Bioinformatics
#219
of 7,316 outputs
Outputs of similar age
#6,012
of 121,479 outputs
Outputs of similar age from BMC Bioinformatics
#4
of 74 outputs
Altmetric has tracked 23,023,224 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 7,316 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. 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 121,479 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 74 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 95% of its contemporaries.