| Title |
Managing and monitoring tuberculosis using web-based tools in combination with traditional approaches
|
|---|---|
| Published in |
Clinical Epidemiology, November 2013
|
| DOI | 10.2147/clep.s37072 |
| Pubmed ID | |
| Authors |
Ann LN Chapman, Thomas C Darton, Rachel A Foster |
| Abstract |
Tuberculosis (TB) remains a global health emergency. Ongoing challenges include the coordination of national and international control programs, high levels of drug resistance in many parts of the world, and availability of accurate and rapid diagnostic tests. The increasing availability and reliability of Internet access throughout both affluent and resource-limited countries brings new opportunities to improve TB management and control through the integration of web-based technologies with traditional approaches. In this review, we explore current and potential future use of web-based tools in the areas of TB diagnosis, treatment, epidemiology, service monitoring, and teaching and training. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 2 | 67% |
| Spain | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 1% |
| Colombia | 1 | 1% |
| South Africa | 1 | 1% |
| Unknown | 77 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 19 | 24% |
| Researcher | 10 | 13% |
| Student > Bachelor | 10 | 13% |
| Other | 6 | 8% |
| Student > Ph. D. Student | 6 | 8% |
| Other | 13 | 16% |
| Unknown | 16 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 24 | 30% |
| Nursing and Health Professions | 6 | 8% |
| Social Sciences | 6 | 8% |
| Agricultural and Biological Sciences | 5 | 6% |
| Computer Science | 5 | 6% |
| Other | 10 | 13% |
| Unknown | 24 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 29 November 2013.
All research outputs
#2,624,915
of 22,731,677 outputs
Outputs from Clinical Epidemiology
#113
of 711 outputs
Outputs of similar age
#25,582
of 213,637 outputs
Outputs of similar age from Clinical Epidemiology
#5
of 20 outputs
Altmetric has tracked 22,731,677 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 711 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.8. 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 213,637 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 87% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.