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X Demographics
Mendeley readers
Attention Score in Context
Title |
Comparing human papillomavirus prevalences in women with normal cytology or invasive cervical cancer to rank genotypes according to their oncogenic potential: a meta-analysis of observational studies
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Published in |
BMC Infectious Diseases, August 2013
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DOI | 10.1186/1471-2334-13-373 |
Pubmed ID | |
Authors |
Erik Bernard, Margarita Pons-Salort, Michel Favre, Isabelle Heard, Elisabeth Delarocque-Astagneau, Didier Guillemot, Anne CM Thiébaut |
Abstract |
Mucosal human papillomavirus (HPV) infection is a necessary cause of cervical cancer. Vaccine and non-vaccine genotype prevalences may change after vaccine introduction. Therefore, it appears essential to rank HPV genotypes according to their oncogenic potential for invasive cervical cancer, independently of their respective prevalences. |
X Demographics
The data shown below were collected from the profiles of 5 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 | 2 | 40% |
Unknown | 3 | 60% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Portugal | 1 | 1% |
Mauritius | 1 | 1% |
Unknown | 92 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 14 | 15% |
Student > Bachelor | 13 | 14% |
Student > Master | 13 | 14% |
Student > Ph. D. Student | 12 | 13% |
Student > Doctoral Student | 7 | 7% |
Other | 17 | 18% |
Unknown | 18 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 37 | 39% |
Agricultural and Biological Sciences | 13 | 14% |
Biochemistry, Genetics and Molecular Biology | 8 | 9% |
Mathematics | 2 | 2% |
Computer Science | 2 | 2% |
Other | 7 | 7% |
Unknown | 25 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 22 January 2014.
All research outputs
#12,687,438
of 22,716,996 outputs
Outputs from BMC Infectious Diseases
#2,886
of 7,658 outputs
Outputs of similar age
#97,855
of 197,044 outputs
Outputs of similar age from BMC Infectious Diseases
#47
of 146 outputs
Altmetric has tracked 22,716,996 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% 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 has gotten more attention than average, scoring higher than 61% of its peers.
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 197,044 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 146 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.