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Validation of prostate cancer risk-related loci identified from genome-wide association studies using family-based association analysis: evidence from the International Consortium for Prostate Cancer…

Overview of attention for article published in Human Genetics, December 2011
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Title
Validation of prostate cancer risk-related loci identified from genome-wide association studies using family-based association analysis: evidence from the International Consortium for Prostate Cancer Genetics (ICPCG)
Published in
Human Genetics, December 2011
DOI 10.1007/s00439-011-1136-0
Pubmed ID
Authors

Guangfu Jin, Lingyi Lu, Kathleen A. Cooney, Anna M. Ray, Kimberly A. Zuhlke, Ethan M. Lange, Lisa A. Cannon-Albright, Nicola J. Camp, Craig C. Teerlink, Liesel M. FitzGerald, Janet L. Stanford, Kathleen E. Wiley, Sarah D. Isaacs, Patrick C. Walsh, William D. Foulkes, Graham G. Giles, John L. Hopper, Gianluca Severi, Ros Eeles, Doug Easton, Zsofia Kote-Jarai, Michelle Guy, Antje Rinckleb, Christiane Maier, Walther Vogel, Geraldine Cancel-Tassin, Christophe Egrot, Olivier Cussenot, Stephen N. Thibodeau, Shannon K. McDonnell, Daniel J. Schaid, Fredrik Wiklund, Henrik Grönberg, Monica Emanuelsson, Alice S. Whittemore, Ingrid Oakley-Girvan, Chih-Lin Hsieh, Tiina Wahlfors, Teuvo Tammela, Johanna Schleutker, William J. Catalona, S. Lilly Zheng, Elaine A. Ostrander, William B. Isaacs, Jianfeng Xu, International Consortium for Prostate Cancer Genetics

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 4%
Lithuania 1 4%
Unknown 26 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 21%
Researcher 5 18%
Professor 3 11%
Student > Doctoral Student 3 11%
Student > Postgraduate 3 11%
Other 4 14%
Unknown 4 14%
Readers by discipline Count As %
Medicine and Dentistry 9 32%
Agricultural and Biological Sciences 7 25%
Social Sciences 3 11%
Biochemistry, Genetics and Molecular Biology 2 7%
Veterinary Science and Veterinary Medicine 1 4%
Other 2 7%
Unknown 4 14%
Attention Score in Context

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 August 2012.
All research outputs
#18,313,878
of 22,675,759 outputs
Outputs from Human Genetics
#2,691
of 2,949 outputs
Outputs of similar age
#195,506
of 243,273 outputs
Outputs of similar age from Human Genetics
#13
of 18 outputs
Altmetric has tracked 22,675,759 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,949 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one is in the 4th percentile – i.e., 4% of its peers scored the same or lower than it.
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 243,273 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 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.