You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Convex hulls in hamming space enable efficient search for similarity and clustering of genomic sequences
|
|---|---|
| Published in |
BMC Bioinformatics, December 2020
|
| DOI | 10.1186/s12859-020-03811-z |
| Pubmed ID | |
| Authors |
David S. Campo, Yury Khudyakov |
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 % |
|---|---|---|
| United Kingdom | 1 | 17% |
| Sweden | 1 | 17% |
| Israel | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 67% |
| Members of the public | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 2 | 18% |
| Researcher | 2 | 18% |
| Lecturer | 1 | 9% |
| Student > Bachelor | 1 | 9% |
| Student > Ph. D. Student | 1 | 9% |
| Other | 3 | 27% |
| Unknown | 1 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 27% |
| Biochemistry, Genetics and Molecular Biology | 1 | 9% |
| Business, Management and Accounting | 1 | 9% |
| Chemical Engineering | 1 | 9% |
| Agricultural and Biological Sciences | 1 | 9% |
| Other | 3 | 27% |
| Unknown | 1 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 04 January 2021.
All research outputs
#3,800,031
of 25,480,126 outputs
Outputs from BMC Bioinformatics
#1,298
of 7,707 outputs
Outputs of similar age
#100,950
of 520,383 outputs
Outputs of similar age from BMC Bioinformatics
#30
of 146 outputs
Altmetric has tracked 25,480,126 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,707 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 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 520,383 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 80% of its contemporaries.
We're also able to compare this research output to 146 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.