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Mendeley readers
Attention Score in Context
| Title |
Association of the Innate Immunity and Inflammation Pathway with Advanced Prostate Cancer Risk
|
|---|---|
| Published in |
PLOS ONE, December 2012
|
| DOI | 10.1371/journal.pone.0051680 |
| Pubmed ID | |
| Authors |
Rémi Kazma, Joel A. Mefford, Iona Cheng, Sarah J. Plummer, Albert M. Levin, Benjamin A. Rybicki, Graham Casey, John S. Witte |
| Abstract |
Prostate cancer is the most frequent and second most lethal cancer in men in the United States. Innate immunity and inflammation may increase the risk of prostate cancer. To determine the role of innate immunity and inflammation in advanced prostate cancer, we investigated the association of 320 single nucleotide polymorphisms, located in 46 genes involved in this pathway, with disease risk using 494 cases with advanced disease and 536 controls from Cleveland, Ohio. Taken together, the whole pathway was associated with advanced prostate cancer risk (P = 0.02). Two sub-pathways (intracellular antiviral molecules and extracellular pattern recognition) and four genes in these sub-pathways (TLR1, TLR6, OAS1, and OAS2) were nominally associated with advanced prostate cancer risk and harbor several SNPs nominally associated with advanced prostate cancer risk. Our results suggest that the innate immunity and inflammation pathway may play a modest role in the etiology of advanced prostate cancer through multiple small effects. |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 5% |
| United Kingdom | 1 | 2% |
| Lithuania | 1 | 2% |
| Unknown | 39 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 23% |
| Student > Bachelor | 8 | 19% |
| Student > Doctoral Student | 6 | 14% |
| Student > Master | 4 | 9% |
| Researcher | 3 | 7% |
| Other | 7 | 16% |
| Unknown | 5 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 26% |
| Agricultural and Biological Sciences | 9 | 21% |
| Biochemistry, Genetics and Molecular Biology | 6 | 14% |
| Nursing and Health Professions | 1 | 2% |
| Mathematics | 1 | 2% |
| Other | 5 | 12% |
| Unknown | 10 | 23% |
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 16 December 2012.
All research outputs
#20,176,348
of 22,689,790 outputs
Outputs from PLOS ONE
#172,810
of 193,655 outputs
Outputs of similar age
#247,347
of 278,890 outputs
Outputs of similar age from PLOS ONE
#4,004
of 4,825 outputs
Altmetric has tracked 22,689,790 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 193,655 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 1st percentile – i.e., 1% 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 278,890 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4,825 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.