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X Demographics
Mendeley readers
Attention Score in Context
Title |
A novel single nucleotide polymorphism within the NOD2 gene is associated with pulmonary tuberculosis in the Chinese Han, Uygur and Kazak populations
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Published in |
BMC Infectious Diseases, April 2012
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DOI | 10.1186/1471-2334-12-91 |
Pubmed ID | |
Authors |
Mengyuan Zhao, Feng Jiang, Wanjiang Zhang, Fujian Li, Liliang Wei, Jiyan Liu, Yun Xue, Xiling Deng, Fang Wu, Le Zhang, Xing Zhang, Yuxiang Zhang, Dapeng Fan, Xiaojun Sun, Tingting Jiang, Ji-Cheng Li |
Abstract |
The present study aimed to investigate the genetic polymorphisms in exon 4 of the NOD2 gene in tuberculosis patients and healthy controls, in order to clarify whether polymorphisms in the NOD2 gene is associated with tuberculosis. |
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 % |
---|---|---|
United States | 2 | 67% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 23 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 6 | 26% |
Student > Postgraduate | 3 | 13% |
Researcher | 3 | 13% |
Student > Ph. D. Student | 3 | 13% |
Student > Bachelor | 2 | 9% |
Other | 2 | 9% |
Unknown | 4 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 6 | 26% |
Agricultural and Biological Sciences | 6 | 26% |
Immunology and Microbiology | 4 | 17% |
Nursing and Health Professions | 2 | 9% |
Business, Management and Accounting | 1 | 4% |
Other | 1 | 4% |
Unknown | 3 | 13% |
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 April 2012.
All research outputs
#17,656,152
of 22,664,267 outputs
Outputs from BMC Infectious Diseases
#5,063
of 7,636 outputs
Outputs of similar age
#120,069
of 161,105 outputs
Outputs of similar age from BMC Infectious Diseases
#65
of 96 outputs
Altmetric has tracked 22,664,267 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,636 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 27th percentile – i.e., 27% 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 161,105 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 96 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.