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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Detection of second-line drug resistance in Mycobacterium tuberculosis using oligonucleotide microarrays
|
|---|---|
| Published in |
BMC Infectious Diseases, May 2013
|
| DOI | 10.1186/1471-2334-13-240 |
| Pubmed ID | |
| Authors |
Danila V Zimenkov, Olga V Antonova, Alexey V Kuz’min, Yulia D Isaeva, Ludmila Y Krylova, Sergey A Popov, Alexander S Zasedatelev, Vladimir M Mikhailovich, Dmitry A Gryadunov |
| Abstract |
The steady rise in the spread of multidrug-resistant tuberculosis (MDR-TB) and extensively drug-resistant tuberculosis (XDR-TB) requires rapid and reliable methods to identify resistant strains. The current molecular methods to detect MTB resistance to second-line drugs either do not cover an extended spectrum of mutations to be identified or are not easily implemented in clinical laboratories. A rapid molecular technique for the detection of resistance to second-line drugs in M. tuberculosis has been developed using hybridisation analysis on microarrays. |
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 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 1% |
| Germany | 1 | 1% |
| Unknown | 71 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 19% |
| Student > Ph. D. Student | 12 | 16% |
| Student > Master | 9 | 12% |
| Student > Postgraduate | 8 | 11% |
| Other | 7 | 10% |
| Other | 9 | 12% |
| Unknown | 14 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 18 | 25% |
| Medicine and Dentistry | 15 | 21% |
| Biochemistry, Genetics and Molecular Biology | 9 | 12% |
| Immunology and Microbiology | 5 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 4% |
| Other | 5 | 7% |
| Unknown | 18 | 25% |
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 25 May 2013.
All research outputs
#18,339,860
of 22,711,242 outputs
Outputs from BMC Infectious Diseases
#5,568
of 7,654 outputs
Outputs of similar age
#146,496
of 195,245 outputs
Outputs of similar age from BMC Infectious Diseases
#107
of 137 outputs
Altmetric has tracked 22,711,242 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,654 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 15th percentile – i.e., 15% 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 195,245 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 137 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.