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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Variants in toll-like receptor 9 gene influence susceptibility to tuberculosis in a Mexican population
|
|---|---|
| Published in |
Journal of Translational Medicine, September 2013
|
| DOI | 10.1186/1479-5876-11-220 |
| Pubmed ID | |
| Authors |
Diana Torres-García, Alfredo Cruz-Lagunas, Ma Cecilia García-Sancho Figueroa, Rosario Fernández-Plata, Renata Baez-Saldaña, Criselda Mendoza-Milla, Rodrigo Barquera, Aida Carrera-Eusebio, Salomón Ramírez-Bravo, Lizeth Campos, Javier Angeles, Gilberto Vargas-Alarcón, Julio Granados, Radha Gopal, Shabaana A Khader, Edmond J Yunis, Joaquin Zuñiga |
| Abstract |
The control of Mycobacterium tuberculosis (Mtb) infection begins with the recognition of mycobacterial structural components by toll like receptors (TLRs) and other pattern recognition receptors. Our objective was to determine the influence of TLRs polymorphisms in the susceptibility to develop tuberculosis (TB) in Amerindian individuals from a rural area of Oaxaca, Mexico with high TB incidence. |
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 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | 1% |
| Sudan | 1 | 1% |
| Unknown | 67 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 25% |
| Student > Master | 13 | 19% |
| Student > Ph. D. Student | 6 | 9% |
| Student > Postgraduate | 5 | 7% |
| Student > Doctoral Student | 4 | 6% |
| Other | 9 | 13% |
| Unknown | 15 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 18 | 26% |
| Medicine and Dentistry | 12 | 17% |
| Immunology and Microbiology | 7 | 10% |
| Biochemistry, Genetics and Molecular Biology | 5 | 7% |
| Nursing and Health Professions | 3 | 4% |
| Other | 6 | 9% |
| Unknown | 18 | 26% |
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 21 September 2013.
All research outputs
#20,202,510
of 22,721,584 outputs
Outputs from Journal of Translational Medicine
#3,303
of 3,973 outputs
Outputs of similar age
#176,869
of 202,141 outputs
Outputs of similar age from Journal of Translational Medicine
#36
of 64 outputs
Altmetric has tracked 22,721,584 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,973 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one is in the 1st percentile – i.e., 1% 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 202,141 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.