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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Choosing algorithms for TB screening: a modelling study to compare yield, predictive value and diagnostic burden
|
|---|---|
| Published in |
BMC Infectious Diseases, October 2014
|
| DOI | 10.1186/1471-2334-14-532 |
| Pubmed ID | |
| Authors |
Anna H van’t Hoog, Ikushi Onozaki, Knut Lonnroth |
| Abstract |
To inform the choice of an appropriate screening and diagnostic algorithm for tuberculosis (TB) screening initiatives in different epidemiological settings, we compare algorithms composed of currently available methods. |
X Demographics
The data shown below were collected from the profiles of 7 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 | 3 | 43% |
| South Africa | 1 | 14% |
| United Kingdom | 1 | 14% |
| Unknown | 2 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 171 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | <1% |
| Unknown | 170 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 49 | 29% |
| Student > Master | 29 | 17% |
| Student > Ph. D. Student | 20 | 12% |
| Other | 9 | 5% |
| Student > Bachelor | 6 | 4% |
| Other | 23 | 13% |
| Unknown | 35 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 69 | 40% |
| Nursing and Health Professions | 11 | 6% |
| Agricultural and Biological Sciences | 10 | 6% |
| Immunology and Microbiology | 7 | 4% |
| Mathematics | 5 | 3% |
| Other | 21 | 12% |
| Unknown | 48 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 28 December 2023.
All research outputs
#1,789,567
of 25,067,172 outputs
Outputs from BMC Infectious Diseases
#454
of 8,434 outputs
Outputs of similar age
#20,026
of 265,443 outputs
Outputs of similar age from BMC Infectious Diseases
#9
of 183 outputs
Altmetric has tracked 25,067,172 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,434 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has done particularly well, scoring higher than 94% 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 265,443 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 92% of its contemporaries.
We're also able to compare this research output to 183 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 95% of its contemporaries.