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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Antimicrobial resistance genetic factor identification from whole-genome sequence data using deep feature selection
|
|---|---|
| Published in |
BMC Bioinformatics, December 2019
|
| DOI | 10.1186/s12859-019-3054-4 |
| Pubmed ID | |
| Authors |
Jinhong Shi, Yan Yan, Matthew G. Links, Longhai Li, Jo-Anne R. Dillon, Michael Horsch, Anthony Kusalik |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 110 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 15% |
| Researcher | 16 | 15% |
| Student > Master | 13 | 12% |
| Student > Bachelor | 11 | 10% |
| Other | 8 | 7% |
| Other | 11 | 10% |
| Unknown | 34 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 20 | 18% |
| Agricultural and Biological Sciences | 12 | 11% |
| Immunology and Microbiology | 10 | 9% |
| Computer Science | 8 | 7% |
| Medicine and Dentistry | 5 | 5% |
| Other | 16 | 15% |
| Unknown | 39 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 13 May 2020.
All research outputs
#18,723,248
of 23,207,489 outputs
Outputs from BMC Bioinformatics
#6,389
of 7,354 outputs
Outputs of similar age
#335,501
of 457,807 outputs
Outputs of similar age from BMC Bioinformatics
#169
of 218 outputs
Altmetric has tracked 23,207,489 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,354 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 5th percentile – i.e., 5% of its peers scored the same or lower than it.
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 457,807 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 218 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.