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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A genome wide association study of pulmonary tuberculosis susceptibility in Indonesians
|
|---|---|
| Published in |
BMC Medical Genomics, January 2012
|
| DOI | 10.1186/1471-2350-13-5 |
| Pubmed ID | |
| Authors |
Eileen Png, Bachti Alisjahbana, Edhyana Sahiratmadja, Sangkot Marzuki, Ron Nelwan, Yanina Balabanova, Vladyslav Nikolayevskyy, Francis Drobniewski, Sergey Nejentsev, Iskandar Adnan, Esther van de Vosse, Martin L Hibberd, Reinout van Crevel, Tom HM Ottenhoff, Mark Seielstad |
| Abstract |
There is reason to expect strong genetic influences on the risk of developing active pulmonary tuberculosis (TB) among latently infected individuals. Many of the genome wide linkage and association studies (GWAS) to date have been conducted on African populations. In order to identify additional targets in genetically dissimilar populations, and to enhance our understanding of this disease, we performed a multi-stage GWAS in a Southeast Asian cohort from Indonesia. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 33% |
| Australia | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 126 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | <1% |
| Thailand | 1 | <1% |
| Unknown | 124 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 24 | 19% |
| Student > Ph. D. Student | 20 | 16% |
| Student > Master | 20 | 16% |
| Student > Postgraduate | 9 | 7% |
| Student > Bachelor | 9 | 7% |
| Other | 24 | 19% |
| Unknown | 20 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 34 | 27% |
| Biochemistry, Genetics and Molecular Biology | 24 | 19% |
| Agricultural and Biological Sciences | 21 | 17% |
| Immunology and Microbiology | 10 | 8% |
| Nursing and Health Professions | 3 | 2% |
| Other | 12 | 10% |
| Unknown | 22 | 17% |
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 24 April 2012.
All research outputs
#16,045,990
of 25,371,288 outputs
Outputs from BMC Medical Genomics
#1,102
of 2,444 outputs
Outputs of similar age
#161,375
of 248,733 outputs
Outputs of similar age from BMC Medical Genomics
#16
of 31 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,444 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 51% of its peers.
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 248,733 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.