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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Plasmid-based high-resolution melting analysis for accurate detection of rpoB mutations in Mycobacterium tuberculosis isolates from Moroccan patients
|
|---|---|
| Published in |
BMC Infectious Diseases, August 2017
|
| DOI | 10.1186/s12879-017-2666-4 |
| Pubmed ID | |
| Authors |
El Mehdi Bentaleb, My Driss El Messaoudi, Mohammed Abid, Malika Messaoudi, Ali K. Yetisen, Hassan Sefrioui, Saaïd Amzazi, Hassan Ait Benhassou |
| Abstract |
Rapid diagnosis of drug resistance in tuberculosis (TB) is pivotal for the timely initiation of effective antibiotic treatment to prevent the spread of drug-resistant strains. The development of low-cost, rapid and robust methods for drug-resistant TB detection is highly desirable for resource-limited settings. We report the use of an in house plasmid-based quantitative polymerase chain reaction-high-resolution melting (qPCR-HRM) analysis for the detection of mutations related to rifampicin-resistant Mycobacterium tuberculosis (MTB) in clinical isolates from Moroccan patients. Five recombinant plasmids containing predominant mutations (S531L, S531W, H526Y and D516V) and the wild-type sequence of the Rifampicin Resistance-Determining Region (RRDR) have been used as controls to screen 45 rifampicin-resistant and 22 rifampicin-susceptible MTB isolates. The sensitivity and the specificity of the qPCR-HRM analysis were 88.8% and 100% respectively as compared to rifampicin Drug Susceptibility Testing (DST). The results of qPCR-HRM and DNA sequencing had a concordance of 100%. Our qPCR-HRM assay is a sensitive, accurate and cost-effective assay for the high-throughput screening of mutation-based drug resistance in TB reference laboratories. |
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 % |
|---|---|---|
| United Kingdom | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 49 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 16% |
| Student > Ph. D. Student | 7 | 14% |
| Student > Master | 6 | 12% |
| Other | 3 | 6% |
| Professor | 2 | 4% |
| Other | 4 | 8% |
| Unknown | 19 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 20% |
| Agricultural and Biological Sciences | 3 | 6% |
| Immunology and Microbiology | 2 | 4% |
| Nursing and Health Professions | 2 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Other | 7 | 14% |
| Unknown | 24 | 49% |
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 09 August 2017.
All research outputs
#15,474,679
of 22,996,001 outputs
Outputs from BMC Infectious Diseases
#4,525
of 7,718 outputs
Outputs of similar age
#199,319
of 317,751 outputs
Outputs of similar age from BMC Infectious Diseases
#99
of 167 outputs
Altmetric has tracked 22,996,001 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,718 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 10.0. This one is in the 33rd percentile – i.e., 33% 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 317,751 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 167 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.