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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Effects of introducing Xpert MTB/RIF test on multi-drug resistant tuberculosis diagnosis in KwaZulu-Natal South Africa
|
|---|---|
| Published in |
BMC Infectious Diseases, August 2014
|
| DOI | 10.1186/1471-2334-14-442 |
| Pubmed ID | |
| Authors |
Nomonde R Dlamini-Mvelase, Lise Werner, Rogerio Phili, Lindiwe P Cele, Koleka P Mlisana |
| Abstract |
An algorithm instituted following Xpert MTB/RIF (Xpert) introduction in South Africa advocates for treating all Xpert rifampicin resistant patients as MDR-TB cases while awaiting confirmation by phenotypic or genotypic drug susceptibility testing. This study evaluates how the Xpert has influenced the diagnosis and management of drug resistant TB in the highest burdened district of KwaZulu-Natal Province. |
X Demographics
The data shown below were collected from the profiles of 6 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 | 33% |
| United States | 2 | 33% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| Nigeria | 1 | <1% |
| Canada | 1 | <1% |
| South Africa | 1 | <1% |
| Unknown | 118 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 32 | 26% |
| Researcher | 21 | 17% |
| Student > Ph. D. Student | 12 | 10% |
| Other | 11 | 9% |
| Student > Postgraduate | 9 | 7% |
| Other | 22 | 18% |
| Unknown | 15 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 63 | 52% |
| Social Sciences | 7 | 6% |
| Nursing and Health Professions | 7 | 6% |
| Agricultural and Biological Sciences | 5 | 4% |
| Immunology and Microbiology | 4 | 3% |
| Other | 11 | 9% |
| Unknown | 25 | 20% |
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 08 September 2014.
All research outputs
#12,609,232
of 22,760,687 outputs
Outputs from BMC Infectious Diseases
#2,855
of 7,665 outputs
Outputs of similar age
#91,392
of 209,871 outputs
Outputs of similar age from BMC Infectious Diseases
#68
of 172 outputs
Altmetric has tracked 22,760,687 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,665 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one has gotten more attention than average, scoring higher than 62% 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 209,871 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.
We're also able to compare this research output to 172 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.