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Mendeley readers
Attention Score in Context
Title |
Pattern recognition and cellular immune responses to novel Mycobacterium tuberculosis-antigens in individuals from Belarus
|
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Published in |
BMC Infectious Diseases, February 2012
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DOI | 10.1186/1471-2334-12-41 |
Pubmed ID | |
Authors |
Raija K Ahmed, Zoyia Rohava, Kithiganahalli N Balaji, Sven E Hoffner, Hans Gaines, Isabelle Magalhaes, Alimuddin Zumla, Alena Skrahina, Markus J Maeurer |
Abstract |
Tuberculosis (TB) is an enduring health problem worldwide and the emerging threat of multidrug resistant (MDR) TB and extensively drug resistant (XDR) TB is of particular concern. A better understanding of biomarkers associated with TB will aid to guide the development of better targets for TB diagnosis and for the development of improved TB vaccines. |
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 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 44 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 8 | 18% |
Student > Master | 8 | 18% |
Researcher | 6 | 14% |
Student > Bachelor | 5 | 11% |
Professor | 3 | 7% |
Other | 6 | 14% |
Unknown | 8 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 9 | 20% |
Medicine and Dentistry | 9 | 20% |
Agricultural and Biological Sciences | 5 | 11% |
Immunology and Microbiology | 5 | 11% |
Computer Science | 2 | 5% |
Other | 5 | 11% |
Unknown | 9 | 20% |
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 16 February 2012.
All research outputs
#18,304,874
of 22,663,150 outputs
Outputs from BMC Infectious Diseases
#5,552
of 7,635 outputs
Outputs of similar age
#199,375
of 250,712 outputs
Outputs of similar age from BMC Infectious Diseases
#55
of 75 outputs
Altmetric has tracked 22,663,150 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 7,635 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 250,712 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 75 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.