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X Demographics
Mendeley readers
Attention Score in Context
Title |
Temporal dynamics of Mycobacterium tuberculosis genotypes in New South Wales, Australia
|
---|---|
Published in |
BMC Infectious Diseases, August 2014
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DOI | 10.1186/1471-2334-14-455 |
Pubmed ID | |
Authors |
Ulziijargal Gurjav, Peter Jelfs, Nadine McCallum, Ben J Marais, Vitali Sintchenko |
Abstract |
Molecular epidemiology of Mycobacterium tuberculosis, its transmission dynamics and population structure have become important determinants of targeted tuberculosis control programs. Here we describe recent changes in the distribution of M. tuberculosis genotypes in New South Wales (NSW), Australia and compared strain types with drug resistance, site of disease and demographic data. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Australia | 1 | 25% |
United States | 1 | 25% |
Unknown | 2 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 37 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 7 | 19% |
Researcher | 6 | 16% |
Student > Ph. D. Student | 6 | 16% |
Student > Doctoral Student | 4 | 11% |
Professor | 3 | 8% |
Other | 5 | 14% |
Unknown | 6 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 12 | 32% |
Immunology and Microbiology | 4 | 11% |
Nursing and Health Professions | 3 | 8% |
Agricultural and Biological Sciences | 3 | 8% |
Social Sciences | 1 | 3% |
Other | 2 | 5% |
Unknown | 12 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 05 November 2014.
All research outputs
#14,199,380
of 22,761,738 outputs
Outputs from BMC Infectious Diseases
#3,762
of 7,665 outputs
Outputs of similar age
#121,280
of 235,668 outputs
Outputs of similar age from BMC Infectious Diseases
#87
of 165 outputs
Altmetric has tracked 22,761,738 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,665 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 47th percentile – i.e., 47% 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 235,668 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 165 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.