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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Mapping Complex Traits in a Diversity Outbred F1 Mouse Population Identifies Germline Modifiers of Metastasis in Human Prostate Cancer
|
|---|---|
| Published in |
Cell Systems, December 2016
|
| DOI | 10.1016/j.cels.2016.10.018 |
| Pubmed ID | |
| Authors |
Jean M. Winter, Derek E. Gildea, Jonathan P. Andreas, Daniel M. Gatti, Kendra A. Williams, Minnkyong Lee, Ying Hu, Suiyuan Zhang, NISC Comparative Sequencing Program, James C. Mullikin, Tyra G. Wolfsberg, Shannon K. McDonnell, Zachary C. Fogarty, Melissa C. Larson, Amy J. French, Daniel J. Schaid, Stephen N. Thibodeau, Gary A. Churchill, Nigel P.S. Crawford |
| Abstract |
It is unclear how standing genetic variation affects the prognosis of prostate cancer patients. To provide one controlled answer to this problem, we crossed a dominant, penetrant mouse model of prostate cancer to Diversity Outbred mice, a collection of animals that carries over 40 million SNPs. Integration of disease phenotype and SNP variation data in 493 F1 males identified a metastasis modifier locus on Chromosome 8 (LOD = 8.42); further analysis identified the genes Rwdd4, Cenpu, and Casp3 as functional effectors of this locus. Accordingly, analysis of over 5,300 prostate cancer patient samples revealed correlations between the presence of genetic variants at these loci, their expression levels, cancer aggressiveness, and patient survival. We also observed that ectopic overexpression of RWDD4 and CENPU increased the aggressiveness of two human prostate cancer cell lines. In aggregate, our approach demonstrates how well-characterized genetic variation in mice can be harnessed in conjunction with systems genetics approaches to identify and characterize germline modifiers of human disease processes. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 33% |
| Comoros | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 50% |
| Science communicators (journalists, bloggers, editors) | 2 | 33% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 57 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 28% |
| Student > Ph. D. Student | 10 | 18% |
| Student > Bachelor | 3 | 5% |
| Professor | 3 | 5% |
| Student > Postgraduate | 3 | 5% |
| Other | 8 | 14% |
| Unknown | 14 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 12 | 21% |
| Agricultural and Biological Sciences | 9 | 16% |
| Immunology and Microbiology | 5 | 9% |
| Medicine and Dentistry | 4 | 7% |
| Business, Management and Accounting | 2 | 4% |
| Other | 8 | 14% |
| Unknown | 17 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 27 November 2017.
All research outputs
#7,959,659
of 25,373,627 outputs
Outputs from Cell Systems
#778
of 981 outputs
Outputs of similar age
#131,554
of 416,449 outputs
Outputs of similar age from Cell Systems
#26
of 37 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 981 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 37.2. This one is in the 19th percentile – i.e., 19% 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 416,449 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.