| Title |
Integrating standardized whole genome sequence analysis with a global Mycobacterium tuberculosis antibiotic resistance knowledgebase
|
|---|---|
| Published in |
Scientific Reports, October 2018
|
| DOI | 10.1038/s41598-018-33731-1 |
| Pubmed ID | |
| Authors |
Matthew Ezewudo, Amanda Borens, Álvaro Chiner-Oms, Paolo Miotto, Leonid Chindelevitch, Angela M. Starks, Debra Hanna, Richard Liwski, Matteo Zignol, Christopher Gilpin, Stefan Niemann, Thomas Andreas Kohl, Robin M. Warren, Derrick Crook, Sebastien Gagneux, Sven Hoffner, Camilla Rodrigues, Iñaki Comas, David M. Engelthaler, David Alland, Leen Rigouts, Christoph Lange, Keertan Dheda, Rumina Hasan, Ruth McNerney, Daniela M. Cirillo, Marco Schito, Timothy C. Rodwell, James Posey |
X Demographics
The data shown below were collected from the profiles of 18 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 7 | 39% |
| United States | 2 | 11% |
| United Kingdom | 2 | 11% |
| Singapore | 1 | 6% |
| India | 1 | 6% |
| Unknown | 5 | 28% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 56% |
| Scientists | 6 | 33% |
| Practitioners (doctors, other healthcare professionals) | 2 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 173 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 173 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 29 | 17% |
| Student > Master | 26 | 15% |
| Student > Ph. D. Student | 16 | 9% |
| Student > Bachelor | 12 | 7% |
| Other | 10 | 6% |
| Other | 24 | 14% |
| Unknown | 56 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 30 | 17% |
| Agricultural and Biological Sciences | 23 | 13% |
| Medicine and Dentistry | 21 | 12% |
| Immunology and Microbiology | 15 | 9% |
| Computer Science | 4 | 2% |
| Other | 15 | 9% |
| Unknown | 65 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 17 October 2023.
All research outputs
#2,546,506
of 25,402,528 outputs
Outputs from Scientific Reports
#22,469
of 140,905 outputs
Outputs of similar age
#52,104
of 359,651 outputs
Outputs of similar age from Scientific Reports
#560
of 3,410 outputs
Altmetric has tracked 25,402,528 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 140,905 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.7. This one has done well, scoring higher than 84% 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 359,651 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 3,410 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.