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Clustering patterns of human papillomavirus infections among HIV-positive women in Kenya

Overview of attention for article published in Infectious Agents and Cancer, December 2013
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Title
Clustering patterns of human papillomavirus infections among HIV-positive women in Kenya
Published in
Infectious Agents and Cancer, December 2013
DOI 10.1186/1750-9378-8-50
Pubmed ID
Authors

Salvatore Vaccarella, Hugo De Vuyst, Nelly R Mugo, Samah R Sakr, Martyn Plummer, Daniëlle A M Heideman, Silvia Franceschi, Michael Chung

Abstract

HIV-positive women are at increased risk of human papillomavirus (HPV) infection, and, especially, multiple infections compared to HIV-negative women. Whether certain HPV types have a tendency to cluster in multiple infections beyond or below what would be expected by shared risk factors (e.g., sexual behavior and the degree of immunosuppression) is unclear. We, therefore, investigated clustering patterns of 44 HPV types in HIV-positive women from Kenya.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
Kenya 1 2%
Tanzania, United Republic of 1 2%
Unknown 55 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 19%
Researcher 7 12%
Student > Ph. D. Student 7 12%
Lecturer 5 9%
Student > Postgraduate 4 7%
Other 10 17%
Unknown 14 24%
Readers by discipline Count As %
Medicine and Dentistry 17 29%
Nursing and Health Professions 6 10%
Biochemistry, Genetics and Molecular Biology 3 5%
Agricultural and Biological Sciences 3 5%
Social Sciences 3 5%
Other 10 17%
Unknown 16 28%
Attention Score in Context

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 10 January 2014.
All research outputs
#14,122,645
of 22,736,112 outputs
Outputs from Infectious Agents and Cancer
#194
of 514 outputs
Outputs of similar age
#174,277
of 306,126 outputs
Outputs of similar age from Infectious Agents and Cancer
#7
of 9 outputs
Altmetric has tracked 22,736,112 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 514 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. 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 306,126 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 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.