| Title |
Genetic diversity of Mycobacterium tuberculosis isolates from Beijing, China assessed by Spoligotyping, LSPs and VNTR profiles
|
|---|---|
| Published in |
BMC Infectious Diseases, December 2012
|
| DOI | 10.1186/1471-2334-12-372 |
| Pubmed ID | |
| Authors |
Bing Lu, Ping Zhao, Binbin Liu, Haiyan Dong, Qin Yu, Xiuqin Zhao, Kanglin Wan |
| Abstract |
Tuberculosis is one of the most infectious diseases in the world. Molecular typing methods such as spoligotyping, and VNTR (variable number tandem repeats), IS6110 in the NTF region and LSP (large sequence polymorphisms) analysis are generally useful tools for the resolution of various issues related to the classical epidemiology of Mycobacterium tuberculosis (M. tuberculosis). |
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 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | 3% |
| Zimbabwe | 1 | 3% |
| Unknown | 38 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 28% |
| Student > Master | 9 | 23% |
| Student > Bachelor | 5 | 13% |
| Student > Ph. D. Student | 4 | 10% |
| Student > Doctoral Student | 2 | 5% |
| Other | 5 | 13% |
| Unknown | 4 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 11 | 28% |
| Medicine and Dentistry | 9 | 23% |
| Biochemistry, Genetics and Molecular Biology | 7 | 18% |
| Immunology and Microbiology | 4 | 10% |
| Nursing and Health Professions | 1 | 3% |
| Other | 2 | 5% |
| Unknown | 6 | 15% |
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 23 December 2012.
All research outputs
#20,178,031
of 22,691,736 outputs
Outputs from BMC Infectious Diseases
#6,425
of 7,643 outputs
Outputs of similar age
#248,643
of 280,457 outputs
Outputs of similar age from BMC Infectious Diseases
#140
of 171 outputs
Altmetric has tracked 22,691,736 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 7,643 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 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 280,457 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 171 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.