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X Demographics
Mendeley readers
Attention Score in Context
| Title |
GenTB: A user-friendly genome-based predictor for tuberculosis resistance powered by machine learning
|
|---|---|
| Published in |
Genome Medicine, August 2021
|
| DOI | 10.1186/s13073-021-00953-4 |
| Pubmed ID | |
| Authors |
Matthias I. Gröschel, Martin Owens, Luca Freschi, Roger Vargas, Maximilian G. Marin, Jody Phelan, Zamin Iqbal, Avika Dixit, Maha R. Farhat |
X Demographics
The data shown below were collected from the profiles of 11 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 | 2 | 18% |
| Australia | 1 | 9% |
| France | 1 | 9% |
| Germany | 1 | 9% |
| Nigeria | 1 | 9% |
| India | 1 | 9% |
| Uganda | 1 | 9% |
| Unknown | 3 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 7 | 64% |
| Members of the public | 4 | 36% |
Mendeley readers
The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 83 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 19% |
| Student > Ph. D. Student | 9 | 11% |
| Student > Master | 8 | 10% |
| Student > Bachelor | 5 | 6% |
| Student > Doctoral Student | 4 | 5% |
| Other | 9 | 11% |
| Unknown | 32 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 17 | 20% |
| Immunology and Microbiology | 7 | 8% |
| Agricultural and Biological Sciences | 6 | 7% |
| Medicine and Dentistry | 6 | 7% |
| Computer Science | 6 | 7% |
| Other | 7 | 8% |
| Unknown | 34 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 November 2022.
All research outputs
#5,636,734
of 23,577,761 outputs
Outputs from Genome Medicine
#966
of 1,467 outputs
Outputs of similar age
#110,181
of 430,518 outputs
Outputs of similar age from Genome Medicine
#22
of 48 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.9. This one is in the 33rd percentile – i.e., 33% 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 430,518 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 74% of its contemporaries.
We're also able to compare this research output to 48 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 54% of its contemporaries.