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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genotyping and clinical characteristics of multidrug and extensively drug-resistant tuberculosis in a tertiary care tuberculosis hospital in China
|
|---|---|
| Published in |
BMC Infectious Diseases, July 2013
|
| DOI | 10.1186/1471-2334-13-315 |
| Pubmed ID | |
| Authors |
Xiaoliang Yuan, Tiantuo Zhang, Kazuyoshi Kawakami, Jiaxin Zhu, Wenzheng Zheng, Hongtao Li, Guofang Deng, Shaohua Tu, Weiyou Liu |
| Abstract |
There is a lack of information on the clinical characteristics of multidrug-resistant (MDR) tuberculosis (TB) and extensively drug-resistant (XDR) TB in the Jiangxi Province of China; furthermore, data have not been reported on the utility of mycobacterial interspersed repetitive-unit-variable-number tandem-repeat (MIRU-VNTR) analyses in genotyping Mycobacterium tuberculosis strains isolated from this region. The aim of this study was to analyse the clinical features of patients with MDR and XDR TB from Jiangxi Province and to evaluate the discriminatory power of the 15-loci MIRU-VNTR method. |
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 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Colombia | 1 | 1% |
| Tanzania, United Republic of | 1 | 1% |
| Unknown | 83 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 16% |
| Student > Master | 10 | 12% |
| Other | 8 | 9% |
| Student > Ph. D. Student | 8 | 9% |
| Student > Postgraduate | 7 | 8% |
| Other | 15 | 18% |
| Unknown | 23 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 26 | 31% |
| Agricultural and Biological Sciences | 8 | 9% |
| Immunology and Microbiology | 6 | 7% |
| Nursing and Health Professions | 5 | 6% |
| Biochemistry, Genetics and Molecular Biology | 4 | 5% |
| Other | 6 | 7% |
| Unknown | 30 | 35% |
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 12 July 2013.
All research outputs
#20,196,270
of 22,714,025 outputs
Outputs from BMC Infectious Diseases
#6,440
of 7,658 outputs
Outputs of similar age
#170,682
of 194,569 outputs
Outputs of similar age from BMC Infectious Diseases
#105
of 143 outputs
Altmetric has tracked 22,714,025 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 7,658 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.5. 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 194,569 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 143 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.