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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Epidemiologic Consequences of Microvariation in Mycobacterium tuberculosis
|
|---|---|
| Published in |
Journal of Infectious Diseases, February 2012
|
| DOI | 10.1093/infdis/jir876 |
| Pubmed ID | |
| Authors |
Barun Mathema, Natalia Kurepina, Guibin Yang, Elena Shashkina, Claudia Manca, Carolina Mehaffy, Helle Bielefeldt-Ohmann, Shama Ahuja, Dorothy A. Fallows, Angelo Izzo, Pablo Bifani, Karen Dobos, Gilla Kaplan, Barry N. Kreiswirth |
| Abstract |
Evidence from genotype-phenotype studies suggests that genetic diversity in pathogens have clinically relevant manifestations that can impact outcome of infection and epidemiologic success. We studied 5 closely related Mycobacterium tuberculosis strains that collectively caused extensive disease (n = 862), particularly among US-born tuberculosis patients. |
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 % |
|---|---|---|
| United States | 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 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 1% |
| United States | 1 | 1% |
| Ecuador | 1 | 1% |
| Zimbabwe | 1 | 1% |
| Unknown | 85 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 26 | 29% |
| Student > Bachelor | 11 | 12% |
| Student > Master | 8 | 9% |
| Student > Ph. D. Student | 6 | 7% |
| Student > Postgraduate | 6 | 7% |
| Other | 13 | 15% |
| Unknown | 19 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 25 | 28% |
| Agricultural and Biological Sciences | 20 | 22% |
| Immunology and Microbiology | 7 | 8% |
| Biochemistry, Genetics and Molecular Biology | 6 | 7% |
| Nursing and Health Professions | 2 | 2% |
| Other | 7 | 8% |
| Unknown | 22 | 25% |
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 08 February 2012.
All research outputs
#20,657,128
of 25,374,917 outputs
Outputs from Journal of Infectious Diseases
#13,624
of 14,793 outputs
Outputs of similar age
#205,284
of 253,979 outputs
Outputs of similar age from Journal of Infectious Diseases
#89
of 103 outputs
Altmetric has tracked 25,374,917 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 14,793 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.4. 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 253,979 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 103 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.