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Mendeley readers
Attention Score in Context
Title |
Comparison between the BACTEC MGIT 960 system and the agar proportion method for susceptibility testing of multidrug resistant tuberculosis strains in a high burden setting of South Africa
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Published in |
BMC Infectious Diseases, December 2012
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DOI | 10.1186/1471-2334-12-369 |
Pubmed ID | |
Authors |
Halima M Said, Marleen M Kock, Nazir A Ismail, Kamaldeen Baba, Shaheed V Omar, Ayman G Osman, Anwar A Hoosen, Marthie M Ehlers |
Abstract |
The increasing problem of multi-drug-resistant (MDR) tuberculosis (TB) [ie resistant to at least isoniazid (INH) and rifampicin (RIF)] is becoming a global problem. Successful treatment outcome for MDR-TB depends on reliable and accurate drug susceptibility testing of first-line and second-line anti-TB drugs. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Norway | 1 | 1% |
South Africa | 1 | 1% |
Unknown | 77 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 19 | 24% |
Student > Postgraduate | 9 | 11% |
Student > Master | 9 | 11% |
Student > Bachelor | 7 | 9% |
Student > Ph. D. Student | 6 | 8% |
Other | 11 | 14% |
Unknown | 18 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 23 | 29% |
Immunology and Microbiology | 13 | 16% |
Agricultural and Biological Sciences | 9 | 11% |
Biochemistry, Genetics and Molecular Biology | 8 | 10% |
Nursing and Health Professions | 4 | 5% |
Other | 3 | 4% |
Unknown | 19 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 23 December 2012.
All research outputs
#20,178,031
of 22,691,736 outputs
Outputs from BMC Infectious Diseases
#6,425
of 7,643 outputs
Outputs of similar age
#248,518
of 280,229 outputs
Outputs of similar age from BMC Infectious Diseases
#139
of 170 outputs
Altmetric has tracked 22,691,736 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% 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 1st percentile – i.e., 1% 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 280,229 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 170 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.