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Mendeley readers
Attention Score in Context
Title |
Post genome-wide association studies functional characterization of prostate cancer risk loci
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Published in |
BMC Genomics, December 2013
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DOI | 10.1186/1471-2164-14-s8-s9 |
Pubmed ID | |
Authors |
Junfeng Jiang, Weirong Cui, Wanwipa Vongsangnak, Guang Hu, Bairong Shen |
Abstract |
Over the last decade, genome-wide association studies (GWAS) have discovered many risk associated single nucleotide polymorphisms (SNPs) of prostate cancer (PCa). However, the majority of the associated PCa SNPs, including those in linkage disequilibrium (LD) blocks, are generally not located in protein coding regions. The systematical investigation of the functional roles of these SNPs, especially the non-coding SNPs, becomes very necessary and helpful to the understanding of the molecular mechanism of PCa. |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Bosnia and Herzegovina | 1 | 3% |
Nigeria | 1 | 3% |
Unknown | 38 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 11 | 28% |
Researcher | 8 | 20% |
Student > Master | 5 | 13% |
Student > Bachelor | 4 | 10% |
Professor > Associate Professor | 3 | 8% |
Other | 5 | 13% |
Unknown | 4 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 11 | 28% |
Agricultural and Biological Sciences | 10 | 25% |
Medicine and Dentistry | 9 | 23% |
Sports and Recreations | 1 | 3% |
Unspecified | 1 | 3% |
Other | 2 | 5% |
Unknown | 6 | 15% |
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 11 November 2014.
All research outputs
#18,383,471
of 22,770,070 outputs
Outputs from BMC Genomics
#8,168
of 10,639 outputs
Outputs of similar age
#231,832
of 307,100 outputs
Outputs of similar age from BMC Genomics
#323
of 450 outputs
Altmetric has tracked 22,770,070 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 10,639 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 12th percentile – i.e., 12% 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 307,100 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 450 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.