Title |
Target prioritization and strategy selection for active case-finding of pulmonary tuberculosis: a tool to support country-level project planning
|
---|---|
Published in |
BMC Public Health, February 2013
|
DOI | 10.1186/1471-2458-13-97 |
Pubmed ID | |
Authors |
Nobuyuki Nishikiori, Catharina Van Weezenbeek |
Abstract |
Despite the progress made in the past decade, tuberculosis (TB) control still faces significant challenges. In many countries with declining TB incidence, the disease tends to concentrate in vulnerable populations that often have limited access to health care. In light of the limitations of the current case-finding approach and the global urgency to improve case detection, active case-finding (ACF) has been suggested as an important complementary strategy to accelerate tuberculosis control especially among high-risk populations. The present exercise aims to develop a model that can be used for county-level project planning. |
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 States | 1 | 33% |
India | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 219 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | <1% |
South Africa | 2 | <1% |
United Kingdom | 2 | <1% |
India | 1 | <1% |
Chile | 1 | <1% |
Brazil | 1 | <1% |
Rwanda | 1 | <1% |
Cambodia | 1 | <1% |
Japan | 1 | <1% |
Other | 1 | <1% |
Unknown | 206 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 47 | 21% |
Student > Master | 38 | 17% |
Student > Ph. D. Student | 21 | 10% |
Other | 18 | 8% |
Student > Bachelor | 16 | 7% |
Other | 34 | 16% |
Unknown | 45 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 83 | 38% |
Nursing and Health Professions | 23 | 11% |
Social Sciences | 15 | 7% |
Agricultural and Biological Sciences | 8 | 4% |
Business, Management and Accounting | 5 | 2% |
Other | 30 | 14% |
Unknown | 55 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 12 March 2013.
All research outputs
#13,029,451
of 22,694,633 outputs
Outputs from BMC Public Health
#9,078
of 14,769 outputs
Outputs of similar age
#154,694
of 282,796 outputs
Outputs of similar age from BMC Public Health
#165
of 270 outputs
Altmetric has tracked 22,694,633 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,769 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 37th percentile – i.e., 37% 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 282,796 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 270 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.