| Title |
Genomic prediction of tuberculosis drug-resistance: benchmarking existing databases and prediction algorithms
|
|---|---|
| Published in |
BMC Bioinformatics, February 2019
|
| DOI | 10.1186/s12859-019-2658-z |
| Pubmed ID | |
| Authors |
Tra-My Ngo, Yik-Ying Teo |
X Demographics
The data shown below were collected from the profiles of 9 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 | 3 | 33% |
| Russia | 1 | 11% |
| Unknown | 5 | 56% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 56% |
| Scientists | 3 | 33% |
| Practitioners (doctors, other healthcare professionals) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 96 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 21 | 22% |
| Student > Master | 18 | 19% |
| Student > Ph. D. Student | 10 | 10% |
| Student > Bachelor | 6 | 6% |
| Other | 5 | 5% |
| Other | 12 | 13% |
| Unknown | 24 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 23 | 24% |
| Agricultural and Biological Sciences | 13 | 14% |
| Medicine and Dentistry | 10 | 10% |
| Computer Science | 7 | 7% |
| Immunology and Microbiology | 6 | 6% |
| Other | 8 | 8% |
| Unknown | 29 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 10 February 2019.
All research outputs
#7,070,412
of 23,128,387 outputs
Outputs from BMC Bioinformatics
#2,717
of 7,335 outputs
Outputs of similar age
#149,096
of 439,824 outputs
Outputs of similar age from BMC Bioinformatics
#59
of 178 outputs
Altmetric has tracked 23,128,387 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 7,335 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 gotten more attention than average, scoring higher than 61% 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 439,824 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 178 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.