| Title |
Integrating informatics tools and portable sequencing technology for rapid detection of resistance to anti-tuberculous drugs
|
|---|---|
| Published in |
Genome Medicine, June 2019
|
| DOI | 10.1186/s13073-019-0650-x |
| Pubmed ID | |
| Authors |
Jody E. Phelan, Denise M. O’Sullivan, Diana Machado, Jorge Ramos, Yaa E. A. Oppong, Susana Campino, Justin O’Grady, Ruth McNerney, Martin L. Hibberd, Miguel Viveiros, Jim F. Huggett, Taane G. Clark |
X Demographics
The data shown below were collected from the profiles of 35 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 | 15 | 43% |
| Spain | 2 | 6% |
| India | 1 | 3% |
| United States | 1 | 3% |
| New Zealand | 1 | 3% |
| Korea, Republic of | 1 | 3% |
| Singapore | 1 | 3% |
| Australia | 1 | 3% |
| Norway | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 9 | 26% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 17 | 49% |
| Members of the public | 15 | 43% |
| Practitioners (doctors, other healthcare professionals) | 3 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 272 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 272 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 45 | 17% |
| Student > Master | 41 | 15% |
| Student > Ph. D. Student | 27 | 10% |
| Other | 14 | 5% |
| Student > Doctoral Student | 14 | 5% |
| Other | 44 | 16% |
| Unknown | 87 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 51 | 19% |
| Immunology and Microbiology | 27 | 10% |
| Agricultural and Biological Sciences | 25 | 9% |
| Medicine and Dentistry | 23 | 8% |
| Computer Science | 6 | 2% |
| Other | 35 | 13% |
| Unknown | 105 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 29. 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 14 April 2023.
All research outputs
#1,385,368
of 26,017,215 outputs
Outputs from Genome Medicine
#288
of 1,612 outputs
Outputs of similar age
#29,526
of 370,763 outputs
Outputs of similar age from Genome Medicine
#5
of 22 outputs
Altmetric has tracked 26,017,215 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 1,612 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.7. 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 370,763 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 91% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.