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HPV type-related chromosomal profiles in high-grade cervical intraepithelial neoplasia

Overview of attention for article published in BMC Cancer, January 2012
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Title
HPV type-related chromosomal profiles in high-grade cervical intraepithelial neoplasia
Published in
BMC Cancer, January 2012
DOI 10.1186/1471-2407-12-36
Pubmed ID
Authors

Mariska Bierkens, Saskia M Wilting, Wessel N van Wieringen, Mark A van de Wiel, Bauke Ylstra, Chris JLM Meijer, Peter JF Snijders, Renske DM Steenbergen

Abstract

The development of cervical cancer and its high-grade precursor lesions (Cervical Intraepithelial Neoplasia grade 2/3 [CIN2/3]) result from a persistent infection with high-risk human papillomavirus (hrHPV) types and the accumulation of (epi)genetic host cell aberrations. Epidemiological studies have demonstrated variable CIN2/3 and cancer risks between different hrHPV types. Recent genomic profiling studies revealed substantial heterogeneity in the chromosomal aberrations detected in morphologically indistinguishable CIN2/3 suggestive of varying cancer risk. The current study aimed to investigate whether CIN2/3 with different hrHPV types vary with respect to their chromosomal profiles, both in terms of the number of aberrations and chromosomal loci affected.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 35%
Researcher 4 13%
Professor 4 13%
Student > Master 3 10%
Professor > Associate Professor 2 6%
Other 5 16%
Unknown 2 6%
Readers by discipline Count As %
Medicine and Dentistry 11 35%
Agricultural and Biological Sciences 8 26%
Biochemistry, Genetics and Molecular Biology 4 13%
Computer Science 1 3%
Mathematics 1 3%
Other 2 6%
Unknown 4 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 26 January 2012.
All research outputs
#10,995,177
of 12,372,945 outputs
Outputs from BMC Cancer
#3,696
of 4,558 outputs
Outputs of similar age
#191,003
of 224,319 outputs
Outputs of similar age from BMC Cancer
#11
of 11 outputs
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We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.