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The DNA load of six high-risk human papillomavirus types and its association with cervical lesions

Overview of attention for article published in BMC Cancer, March 2015
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  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

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Title
The DNA load of six high-risk human papillomavirus types and its association with cervical lesions
Published in
BMC Cancer, March 2015
DOI 10.1186/s12885-015-1126-z
Pubmed ID
Authors

Luisa Del Río-Ospina, Sara Cecilia Soto-De León, Milena Camargo, Darwin Andrés Moreno-Pérez, Ricardo Sánchez, Antonio Pérez-Prados, Manuel Elkin Patarroyo, Manuel Alfonso Patarroyo

Abstract

Analysing human papillomavirus (HPV) viral load is important in determining the risk of developing cervical cancer (CC); most knowledge to date regarding HPV viral load and cervical lesions has been related to HPV-16. This study evaluated the association between the viral load of the six most prevalent high-risk viral types in Colombia and cervical intraepithelial neoplasia (CIN) frequency. 114 women without CIN and 59 women having CIN confirmed by colposcopy, all of them positive by conventional PCR for HPV infection in the initial screening, were included in the study. Samples were tested for six high-risk HPV types to determine viral copy number by real-time PCR. Crude and adjusted odds ratios (ORa) were estimated for evaluating the association between each viral type's DNA load and the risk of cervical lesions occurring. The highest viral loads were identified for HPV-33 in CIN patients and for HPV-31 in patients without lesions (9.33 HPV copies, 2.95 interquartile range (IQR); 9.41 HPV copies, 2.58 IQR). Lesions were more frequent in HPV-16 patients having a low viral load (3.53 ORa, 1.16-10.74 95%CI) compared to those having high HPV-16 load (2.62 ORa, 1.08-6.35 95%CI). High viral load in HPV-31 patients was associated with lower CIN frequency (0.34 ORa, 0.15-0.78 95%CI). An association between HPV DNA load and CIN frequency was seen to be type-specific and may have depended on the duration of infection. This analysis has provided information for understanding the effect of HPV DNA load on cervical lesion development.

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X Demographics

The data shown below were collected from the profiles of 2 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 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Unknown 84 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 17%
Student > Bachelor 15 17%
Student > Master 10 12%
Student > Ph. D. Student 8 9%
Student > Doctoral Student 4 5%
Other 18 21%
Unknown 16 19%
Readers by discipline Count As %
Medicine and Dentistry 23 27%
Biochemistry, Genetics and Molecular Biology 11 13%
Agricultural and Biological Sciences 8 9%
Nursing and Health Professions 7 8%
Immunology and Microbiology 5 6%
Other 13 15%
Unknown 19 22%
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 20 April 2015.
All research outputs
#14,938,907
of 24,189,858 outputs
Outputs from BMC Cancer
#3,374
of 8,595 outputs
Outputs of similar age
#135,058
of 261,864 outputs
Outputs of similar age from BMC Cancer
#74
of 187 outputs
Altmetric has tracked 24,189,858 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 8,595 research outputs from this source. They receive a mean Attention Score of 4.5. This one has gotten more attention than average, scoring higher than 59% 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 261,864 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 187 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 59% of its contemporaries.