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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
| Title |
Clustering and recent transmission of Mycobacterium tuberculosis in a Chinese population
|
|---|---|
| Published in |
Infection and Drug Resistance, March 2018
|
| DOI | 10.2147/idr.s156534 |
| Pubmed ID | |
| Authors |
Guisheng Xu, Xuhua Mao, Jianming Wang, Hongqiu Pan |
| Abstract |
The objectives of the present study were to characterize the clinical isolates prevailing in the northeast of Jiangsu and to investigate the mode of transmission. The study also aimed to explore the extent to whichMycobacterium tuberculosisstrains contributed to drug resistance and the possible factors related to the recent transmission. We consecutively enrolled 912 culture-confirmed pulmonary tuberculosis (TB) cases from 1 January 2013 to 31 December 2014 in Lianyungang City, which is located in the center of China's vast ocean area and the northeast of Jiangsu province. Isolates were genotyped using 15-locus mycobacterial interspersed repetitive unit-variable number tandem repeat (MIRU-VNTR) typing. The Hunter-Gaston discrimination index (HGDI) was used to estimate the discriminatory power and diversity of molecular markers. Among 741 successfully genotyped isolates, 144 (19.43%) strains formed 46 clusters, while 597 (80.57%) isolates had the unique MIRU pattern. The total HGDI for all 15 loci was 0.999. The average cluster size was 3 (2-13) patients. The estimated proportion of recent transmission was 13.34%. Patients with unfavorable treatment outcomes were infected with clustered strains at a higher proportion than were those with favorable treatment outcomes (adjusted OR: 1.78, 95% CI: 1.14-2.85,P=0.012). The probability of recent TB transmission was relatively low in the study site, while the cases mainly arose from the activation of previous infection. Spatial analysis showed that strains forming larger clusters had the characteristics of regional aggregation. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 38 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 21% |
| Student > Bachelor | 5 | 13% |
| Professor | 3 | 8% |
| Student > Ph. D. Student | 3 | 8% |
| Student > Doctoral Student | 1 | 3% |
| Other | 4 | 11% |
| Unknown | 14 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 16% |
| Immunology and Microbiology | 5 | 13% |
| Mathematics | 2 | 5% |
| Medicine and Dentistry | 2 | 5% |
| Unspecified | 1 | 3% |
| Other | 4 | 11% |
| Unknown | 18 | 47% |
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 March 2018.
All research outputs
#15,495,840
of 23,028,364 outputs
Outputs from Infection and Drug Resistance
#734
of 1,686 outputs
Outputs of similar age
#211,639
of 331,165 outputs
Outputs of similar age from Infection and Drug Resistance
#18
of 35 outputs
Altmetric has tracked 23,028,364 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,686 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 45th percentile – i.e., 45% 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 331,165 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.