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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Sequence analysis for detection of drug resistance in Mycobacterium tuberculosis complex isolates from the Central Region of Cameroon
|
|---|---|
| Published in |
BMC Microbiology, May 2014
|
| DOI | 10.1186/1471-2180-14-113 |
| Pubmed ID | |
| Authors |
Emmanuel Mouafo Tekwu, Larissa Kamgue Sidze, Jean-Paul Assam Assam, Jean-Claude Tedom, Serges Tchatchouang, Gaëlle Guiewi Makafe, Anne-Laure Tchokote Wetewale, Christopher Kuaban, Sara Eyangoh, Francine Ntoumi, Véronique N Penlap Beng, Matthias Frank |
| Abstract |
The potential of genetic testing to rapidly diagnose drug resistance has lead to the development of new diagnostic assays. However, prior to implementation in a given setting, the association of specific mutations with specific drug resistance phenotypes should be evaluated. The purpose of this study was to evaluate molecular markers in predicting drug resistance in the Central Region of Cameroon. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| Venezuela, Bolivarian Republic of | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Zambia | 1 | 1% |
| Unknown | 96 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 24 | 25% |
| Researcher | 17 | 18% |
| Student > Ph. D. Student | 15 | 15% |
| Student > Postgraduate | 8 | 8% |
| Student > Bachelor | 6 | 6% |
| Other | 12 | 12% |
| Unknown | 15 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 23 | 24% |
| Agricultural and Biological Sciences | 22 | 23% |
| Medicine and Dentistry | 13 | 13% |
| Immunology and Microbiology | 11 | 11% |
| Nursing and Health Professions | 4 | 4% |
| Other | 4 | 4% |
| Unknown | 20 | 21% |
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 19 August 2015.
All research outputs
#17,720,553
of 22,755,127 outputs
Outputs from BMC Microbiology
#1,998
of 3,181 outputs
Outputs of similar age
#156,663
of 227,522 outputs
Outputs of similar age from BMC Microbiology
#27
of 45 outputs
Altmetric has tracked 22,755,127 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,181 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 29th percentile – i.e., 29% 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 227,522 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.