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X Demographics
Mendeley readers
Attention Score in Context
| Title |
HPV genotypes and associated cervical cytological abnormalities in women from the Pearl River Delta region of Guangdong province, China: a cross-sectional study
|
|---|---|
| Published in |
BMC Infectious Diseases, July 2014
|
| DOI | 10.1186/1471-2334-14-388 |
| Pubmed ID | |
| Authors |
Lipeng Jing, Xingming Zhong, Weihuang Huang, Yang Liu, Man Wang, Zhulin Miao, Xiaoping Zhang, Jing Zou, Baowen Zheng, Congde Chen, Xiaoman Liang, Guang Yang, Chunxia Jing, Xiangcai Wei |
| Abstract |
It is important to understand the specific HPV genotype distribution in screen-detected lesions. HPV Genotype is helpful for separating HPV-positive women at greater risk of cancer from those who can regress spontaneously and for preventing cervical cancer at early stage. The aim of this study was to investigate the high-risk HPV genotype distribution among cervical cytology abnormality in Pearl River Delta Region, Southern China |
X Demographics
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 33% |
| Venezuela, Bolivarian Republic of | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 46 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 13 | 28% |
| Researcher | 6 | 13% |
| Student > Ph. D. Student | 5 | 11% |
| Student > Doctoral Student | 3 | 7% |
| Student > Postgraduate | 2 | 4% |
| Other | 6 | 13% |
| Unknown | 11 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 23 | 50% |
| Biochemistry, Genetics and Molecular Biology | 3 | 7% |
| Nursing and Health Professions | 3 | 7% |
| Agricultural and Biological Sciences | 2 | 4% |
| Physics and Astronomy | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 12 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 19 July 2014.
All research outputs
#14,782,376
of 22,758,248 outputs
Outputs from BMC Infectious Diseases
#4,060
of 7,664 outputs
Outputs of similar age
#125,288
of 226,378 outputs
Outputs of similar age from BMC Infectious Diseases
#96
of 151 outputs
Altmetric has tracked 22,758,248 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,664 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 42nd percentile – i.e., 42% 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 226,378 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 151 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.