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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Predicting bacterial resistance from whole-genome sequences using k-mers and stability selection
|
|---|---|
| Published in |
BMC Bioinformatics, October 2018
|
| DOI | 10.1186/s12859-018-2403-z |
| Pubmed ID | |
| Authors |
Pierre Mahé, Maud Tournoud |
X Demographics
The data shown below were collected from the profiles of 14 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 | 6 | 43% |
| United Kingdom | 1 | 7% |
| China | 1 | 7% |
| Netherlands | 1 | 7% |
| Switzerland | 1 | 7% |
| Unknown | 4 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 8 | 57% |
| Members of the public | 6 | 43% |
Mendeley readers
The data shown below were compiled from readership statistics for 130 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 130 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 22 | 17% |
| Student > Ph. D. Student | 20 | 15% |
| Student > Bachelor | 15 | 12% |
| Student > Master | 15 | 12% |
| Other | 10 | 8% |
| Other | 18 | 14% |
| Unknown | 30 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 25 | 19% |
| Agricultural and Biological Sciences | 22 | 17% |
| Computer Science | 12 | 9% |
| Immunology and Microbiology | 10 | 8% |
| Medicine and Dentistry | 9 | 7% |
| Other | 15 | 12% |
| Unknown | 37 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 16 September 2021.
All research outputs
#2,775,328
of 26,017,215 outputs
Outputs from BMC Bioinformatics
#754
of 7,793 outputs
Outputs of similar age
#55,639
of 363,453 outputs
Outputs of similar age from BMC Bioinformatics
#16
of 133 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% 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 90% 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 363,453 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 84% of its contemporaries.
We're also able to compare this research output to 133 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.