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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Rapid determination of anti-tuberculosis drug resistance from whole-genome sequences
|
|---|---|
| Published in |
Genome Medicine, May 2015
|
| DOI | 10.1186/s13073-015-0164-0 |
| Pubmed ID | |
| Authors |
Francesc Coll, Ruth McNerney, Mark D Preston, José Afonso Guerra-Assunção, Andrew Warry, Grant Hill-Cawthorne, Kim Mallard, Mridul Nair, Anabela Miranda, Adriana Alves, João Perdigão, Miguel Viveiros, Isabel Portugal, Zahra Hasan, Rumina Hasan, Judith R Glynn, Nigel Martin, Arnab Pain, Taane G Clark |
| Abstract |
Mycobacterium tuberculosis drug resistance (DR) challenges effective tuberculosis disease control. Current molecular tests examine limited numbers of mutations, and although whole genome sequencing approaches could fully characterise DR, data complexity has restricted their clinical application. A library (1,325 mutations) predictive of DR for 15 anti-tuberculosis drugs was compiled and validated for 11 of them using genomic-phenotypic data from 792 strains. A rapid online 'TB-Profiler' tool was developed to report DR and strain-type profiles directly from raw sequences. Using our DR mutation library, in silico diagnostic accuracy was superior to some commercial diagnostics and alternative databases. The library will facilitate sequence-based drug-susceptibility testing. |
X Demographics
The data shown below were collected from the profiles of 34 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 | 11 | 32% |
| United States | 3 | 9% |
| Australia | 3 | 9% |
| Spain | 2 | 6% |
| Nepal | 1 | 3% |
| Unknown | 14 | 41% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 16 | 47% |
| Scientists | 13 | 38% |
| Practitioners (doctors, other healthcare professionals) | 3 | 9% |
| Science communicators (journalists, bloggers, editors) | 2 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 444 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | <1% |
| Switzerland | 1 | <1% |
| Sudan | 1 | <1% |
| Germany | 1 | <1% |
| Zambia | 1 | <1% |
| Canada | 1 | <1% |
| Russia | 1 | <1% |
| Spain | 1 | <1% |
| Unknown | 434 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 76 | 17% |
| Student > Ph. D. Student | 74 | 17% |
| Student > Master | 68 | 15% |
| Student > Bachelor | 31 | 7% |
| Student > Postgraduate | 30 | 7% |
| Other | 64 | 14% |
| Unknown | 101 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 99 | 22% |
| Medicine and Dentistry | 63 | 14% |
| Agricultural and Biological Sciences | 59 | 13% |
| Immunology and Microbiology | 45 | 10% |
| Computer Science | 15 | 3% |
| Other | 46 | 10% |
| Unknown | 117 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 69. 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 05 March 2018.
All research outputs
#607,589
of 25,085,910 outputs
Outputs from Genome Medicine
#115
of 1,546 outputs
Outputs of similar age
#6,891
of 272,187 outputs
Outputs of similar age from Genome Medicine
#2
of 31 outputs
Altmetric has tracked 25,085,910 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,546 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.2. This one has done particularly well, scoring higher than 92% 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 272,187 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 97% of its contemporaries.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.