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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Persistently high prevalence of primary resistance and multidrug resistance of tuberculosis in Heilongjiang Province, China
|
|---|---|
| Published in |
BMC Infectious Diseases, September 2016
|
| DOI | 10.1186/s12879-016-1848-9 |
| Pubmed ID | |
| Authors |
Di Li, Jing-Li Wang, Bin-Ying Ji, Jia-Yi Cui, Xin-Ling Pan, Chang-Long Fan, Chang-Xia Shao, Li-Na Zhao, Yuan-Ping Ma, Liu-Zhuo Zhang, Chun-Lei Zhang, Cai-Bo Dong, Toshio Hattori, Hong Ling |
| Abstract |
The spread of multidrug-resistant tuberculosis (MDR-TB) Mycobacterium tuberculosis (M. tuberculosis) strains has been a big challenge to the TB control and prevention in China. Knowledge about patterns of drug resistance in TB high-burden areas of China is crucial to develop appropriate control strategies. We conducted a comprehensive investigation of the resistance pattern of M. tuberculosis in Heilongjiang Province. 1427 M. tuberculosis clinical strains were isolated from pulmonary TB patients hospitalized between 2007 and 2012. The susceptibility of the isolates to the first-line anti-TB drugs and the resistance of MDR M. tuberculosis to fluoroquinolones were examined. We also performed a statistical analysis to identify the correlated risk factors for high burden of MDR-TB. The global resistance rates of 2007-2012 to the first-line drugs and MDR were 57.0 and 22.8 %, respectively. Notably, the primary MDR-TB and pan-resistance rates were as high as 13.6 and 5.0 %, respectively. Of MDR M. tuberculosis isolates (2009), approximately 13 % were not susceptible to any of the fluoroquinolones tested. Being age of 35 to 54, high re-treatment proportion, the presence of cavity lesion, and high proportion of shorter hospitalization are correlated with the development of MDR-TB. The high prevalence of drug resistant, MDR-TB, and fluoroquinolone-resistant MDR-TB is a big concern for TB control. More importantly, in order to control the development of MDR-TB effectively, we need to pay more attention to the primary resistance. Targeting reducing the prevalence of the risk factors may lead to better TB control in China. |
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 % |
|---|---|---|
| Venezuela, Bolivarian Republic of | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| South Africa | 1 | 2% |
| Unknown | 47 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 17% |
| Student > Ph. D. Student | 6 | 13% |
| Student > Bachelor | 5 | 10% |
| Other | 5 | 10% |
| Researcher | 5 | 10% |
| Other | 9 | 19% |
| Unknown | 10 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 20 | 42% |
| Biochemistry, Genetics and Molecular Biology | 4 | 8% |
| Social Sciences | 3 | 6% |
| Immunology and Microbiology | 3 | 6% |
| Nursing and Health Professions | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 14 | 29% |
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 06 October 2016.
All research outputs
#20,344,065
of 22,890,496 outputs
Outputs from BMC Infectious Diseases
#6,483
of 7,691 outputs
Outputs of similar age
#280,134
of 322,816 outputs
Outputs of similar age from BMC Infectious Diseases
#176
of 221 outputs
Altmetric has tracked 22,890,496 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 7,691 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 322,816 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 221 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.