| Title |
Anticipating the impact of the COVID-19 pandemic on TB patients and TB control programmes
|
|---|---|
| Published in |
Annals of Clinical Microbiology and Antimicrobials, May 2020
|
| DOI | 10.1186/s12941-020-00363-1 |
| Pubmed ID | |
| Authors |
Toyin Togun, Beate Kampmann, Neil Graham Stoker, Marc Lipman |
X Demographics
The data shown below were collected from the profiles of 26 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 | 7 | 27% |
| United States | 2 | 8% |
| Korea, Republic of | 1 | 4% |
| Brazil | 1 | 4% |
| Myanmar | 1 | 4% |
| Gambia | 1 | 4% |
| South Africa | 1 | 4% |
| Botswana | 1 | 4% |
| Venezuela, Bolivarian Republic of | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 10 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 16 | 62% |
| Scientists | 6 | 23% |
| Practitioners (doctors, other healthcare professionals) | 2 | 8% |
| Science communicators (journalists, bloggers, editors) | 2 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 696 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 696 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 82 | 12% |
| Researcher | 77 | 11% |
| Student > Bachelor | 74 | 11% |
| Student > Ph. D. Student | 36 | 5% |
| Other | 33 | 5% |
| Other | 123 | 18% |
| Unknown | 271 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 148 | 21% |
| Nursing and Health Professions | 75 | 11% |
| Biochemistry, Genetics and Molecular Biology | 37 | 5% |
| Social Sciences | 28 | 4% |
| Immunology and Microbiology | 21 | 3% |
| Other | 92 | 13% |
| Unknown | 295 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 31. 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 08 September 2020.
All research outputs
#1,255,111
of 25,101,232 outputs
Outputs from Annals of Clinical Microbiology and Antimicrobials
#12
of 671 outputs
Outputs of similar age
#34,217
of 397,097 outputs
Outputs of similar age from Annals of Clinical Microbiology and Antimicrobials
#3
of 13 outputs
Altmetric has tracked 25,101,232 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 671 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has done particularly well, scoring higher than 98% 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 397,097 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 13 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.