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X Demographics
Mendeley readers
Attention Score in Context
Title |
Culture-Independent Detection of Nontuberculous Mycobacteria in Clinical Respiratory Samples
|
---|---|
Published in |
Journal of Clinical Microbiology, July 2016
|
DOI | 10.1128/jcm.01410-16 |
Pubmed ID | |
Authors |
Gianny P. Scoleri, Jocelyn M. Choo, Lex E. X. Leong, Thomas R. Goddard, Lisa Shephard, Lucy D. Burr, Ivan Bastian, Rachel M. Thomson, Geraint B. Rogers |
Abstract |
Culture-based detection of nontuberculous Mycobacteria (NTM) in respiratory samples is time consuming and can be subject to overgrowth by non-mycobacterial bacteria. We describe a single reaction TaqMan quantitative PCR assay for the direct detection of NTM species in clinical samples that is specific, sensitive, and robust. |
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% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 25 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 6 | 24% |
Researcher | 6 | 24% |
Other | 2 | 8% |
Student > Ph. D. Student | 2 | 8% |
Student > Postgraduate | 2 | 8% |
Other | 2 | 8% |
Unknown | 5 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 7 | 28% |
Biochemistry, Genetics and Molecular Biology | 5 | 20% |
Immunology and Microbiology | 4 | 16% |
Environmental Science | 2 | 8% |
Agricultural and Biological Sciences | 1 | 4% |
Other | 2 | 8% |
Unknown | 4 | 16% |
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 27 July 2017.
All research outputs
#20,660,571
of 25,377,790 outputs
Outputs from Journal of Clinical Microbiology
#13,296
of 14,318 outputs
Outputs of similar age
#287,745
of 370,385 outputs
Outputs of similar age from Journal of Clinical Microbiology
#62
of 85 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,318 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one is in the 3rd percentile – i.e., 3% 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 370,385 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 85 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.