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Defining the genetic susceptibility to cervical neoplasia—A genome-wide association study

Overview of attention for article published in PLoS Genetics, August 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
8 X users

Citations

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88 Dimensions

Readers on

mendeley
109 Mendeley
Title
Defining the genetic susceptibility to cervical neoplasia—A genome-wide association study
Published in
PLoS Genetics, August 2017
DOI 10.1371/journal.pgen.1006866
Pubmed ID
Authors

Paul J Leo, Margaret M Madeleine, Sophia Wang, Stephen M Schwartz, Felicity Newell, Ulrika Pettersson-Kymmer, Kari Hemminki, Goran Hallmans, Sven Tiews, Winfried Steinberg, Janet S Rader, Felipe Castro, Mahboobeh Safaeian, Eduardo L Franco, François Coutlée, Claes Ohlsson, Adrian Cortes, Mhairi Marshall, Pamela Mukhopadhyay, Katie Cremin, Lisa G Johnson, Cornelia L Trimble, Suzanne Garland, Sepehr N Tabrizi, Nicolas Wentzensen, Freddy Sitas, Julian Little, Maggie Cruickshank, Ian H Frazer, Allan Hildesheim, Matthew A Brown

Abstract

A small percentage of women with cervical HPV infection progress to cervical neoplasia, and the risk factors determining progression are incompletely understood. We sought to define the genetic loci involved in cervical neoplasia and to assess its heritability using unbiased unrelated case/control statistical approaches. We demonstrated strong association of cervical neoplasia with risk and protective HLA haplotypes that are determined by the amino-acids carried at positions 13 and 71 in pocket 4 of HLA-DRB1 and position 156 in HLA-B. Furthermore, 36% (standard error 2.4%) of liability of HPV-associated cervical pre-cancer and cancer is determined by common genetic variants. Women in the highest 10% of genetic risk scores have approximately >7.1% risk, and those in the highest 5% have approximately >21.6% risk, of developing cervical neoplasia. Future studies should examine genetic risk prediction in assessing the risk of cervical neoplasia further, in combination with other screening methods.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 109 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 109 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 17%
Student > Master 15 14%
Student > Ph. D. Student 12 11%
Other 8 7%
Professor 7 6%
Other 22 20%
Unknown 27 25%
Readers by discipline Count As %
Medicine and Dentistry 34 31%
Biochemistry, Genetics and Molecular Biology 16 15%
Agricultural and Biological Sciences 10 9%
Immunology and Microbiology 5 5%
Nursing and Health Professions 2 2%
Other 7 6%
Unknown 35 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 November 2021.
All research outputs
#1,700,621
of 25,461,852 outputs
Outputs from PLoS Genetics
#1,338
of 8,970 outputs
Outputs of similar age
#32,716
of 327,405 outputs
Outputs of similar age from PLoS Genetics
#35
of 161 outputs
Altmetric has tracked 25,461,852 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,970 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.8. This one has done well, scoring higher than 85% 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 327,405 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 161 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.