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X Demographics
Mendeley readers
Attention Score in Context
| Title |
QuantiFERON-TB gold in-tube implementation for latent tuberculosis diagnosis in a public health clinic: a cost-effectiveness analysis
|
|---|---|
| Published in |
BMC Infectious Diseases, December 2012
|
| DOI | 10.1186/1471-2334-12-360 |
| Pubmed ID | |
| Authors |
Maunank Shah, Kathryn Miele, Howard Choi, Danielle DiPietro, Maria Martins-Evora, Vincent Marsiglia, Susan Dorman |
| Abstract |
The tuberculin skin test (TST) has limitations for latent tuberculosis infection (LTBI) diagnosis in low-prevalence settings. Previously, all TST-positive individuals referred from the community to Baltimore City Health Department (BCHD) were offered LTBI treatment, after active TB was excluded. In 2010, BCHD introduced adjunctive QuantiFERON-TB Gold In-Tube (QFT-GIT) testing for TST-positive referrals. We evaluated costs and cost-effectiveness of this new diagnostic algorithm. |
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 % |
|---|---|---|
| Spain | 1 | 33% |
| United States | 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 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 4% |
| United Kingdom | 1 | 1% |
| Brazil | 1 | 1% |
| Unknown | 70 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 25% |
| Student > Master | 16 | 21% |
| Student > Doctoral Student | 6 | 8% |
| Student > Bachelor | 6 | 8% |
| Student > Ph. D. Student | 6 | 8% |
| Other | 10 | 13% |
| Unknown | 12 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 26 | 35% |
| Immunology and Microbiology | 8 | 11% |
| Agricultural and Biological Sciences | 5 | 7% |
| Biochemistry, Genetics and Molecular Biology | 4 | 5% |
| Nursing and Health Professions | 4 | 5% |
| Other | 12 | 16% |
| Unknown | 16 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 06 January 2013.
All research outputs
#14,740,534
of 22,689,790 outputs
Outputs from BMC Infectious Diseases
#4,047
of 7,643 outputs
Outputs of similar age
#175,126
of 280,127 outputs
Outputs of similar age from BMC Infectious Diseases
#86
of 166 outputs
Altmetric has tracked 22,689,790 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,643 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one is in the 42nd percentile – i.e., 42% 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 280,127 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 166 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.