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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Epidemiologic characterization of human papillomavirus (HPV) infection in various regions of Yunnan Province of China
|
|---|---|
| Published in |
BMC Infectious Diseases, May 2016
|
| DOI | 10.1186/s12879-016-1562-7 |
| Pubmed ID | |
| Authors |
Zulqarnain Baloch, Yuanyue Li, Tao Yuan, Yue Feng, Yanqing Liu, Wenlin Tai, Li Liu, Binghui Wang, A-mei Zhang, Xiaomei Wu, Xueshan Xia |
| Abstract |
This study was designed to determine the Human papillomavirus (HPV) prevalence and its distribution of genotypes in various regions of Yunnan Province, China. In this study, participants were recruited during routine gynecologic examination between Oct 2013 and Feb 2015. A total of 17,898 women were recruited. Polymerase chain reaction was used for detecting the HPV positive samples and HPV geno-array test was used for genotyping. The overall HPV infection rate (19.9 %) among the south-western women was significantly higher (P = 0.001) than that among the north-western (18.0 %), south-eastern (13.3 %), north-eastern (11.1 %) and central women (12.9 %). The high-risk (HR) (18.1 %, P = 0.001) and single genotype (16.7 %, P = 0.001) infection rates among the South-western women were also significantly higher than those of among the north-western (13.9 %, 11.3 %), south-eastern (11.6 %, 10.5 %), north-eastern (9.6 %, 9.1 %) and central women (10.5 %, 10.0 %), respectively. While, the infections with multiple HPV (4.2 %) genotypes were significantly more common (P = 0.001) among women in north-western Yunnan than women in the south-western (1.3 %, 3.1 %), south-eastern (1.7 %, 2.7 %), north-eastern (1.5 %, 2.0 %) and central Yunnan (2.4 %, 2.9 %). A total of 30 HPV genotypes were detected; among them 13 were HR-HPV, 3 were PHR-HPV (Potential High risk), 8 were LR-HPV (Low risk) and six were unclassified. The most common HPV genotypes were HPV-52, 16, 58, 53 in control group, HPV-16, 52, 58, 39 and 53 in CINI (Cervical intraepithelial Neoplasia), HPV-52, 16, 58, 33, 53 and 81 in CINII, HPV16, 58, 18, 52, 81 in CINIII and HPV-16 18, 58, 52 in cervical cancer (CC), respectively. Such variation has also been observed about distribution of HPV genotypes distribution among single and multiple infections. This study gives an epidemiological estimate of HPV prevalence and different genotype distribution in various region of Yunnan province and further explains its prevalence in different neoplastic lesions. Overall HPV-16, 52, 58, and 18 are the leading HR-HPV genotypes. |
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 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 > Doctoral Student | 3 | 13% |
| Researcher | 3 | 13% |
| Student > Ph. D. Student | 2 | 9% |
| Professor | 1 | 4% |
| Lecturer | 1 | 4% |
| Other | 2 | 9% |
| Unknown | 11 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 35% |
| Biochemistry, Genetics and Molecular Biology | 5 | 22% |
| Social Sciences | 1 | 4% |
| Engineering | 1 | 4% |
| Unknown | 8 | 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 02 June 2016.
All research outputs
#20,330,976
of 22,875,477 outputs
Outputs from BMC Infectious Diseases
#6,481
of 7,690 outputs
Outputs of similar age
#289,565
of 337,044 outputs
Outputs of similar age from BMC Infectious Diseases
#137
of 165 outputs
Altmetric has tracked 22,875,477 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 7,690 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 337,044 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 165 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.