You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
Title |
Enrichment of inflammatory bowel disease and colorectal cancer risk variants in colon expression quantitative trait loci
|
---|---|
Published in |
BMC Genomics, February 2015
|
DOI | 10.1186/s12864-015-1292-z |
Pubmed ID | |
Authors |
Imge Hulur, Eric R Gamazon, Andrew D Skol, Rosa M Xicola, Xavier Llor, Kenan Onel, Nathan A Ellis, Sonia S Kupfer |
Abstract |
Genome-wide association studies (GWAS) have identified single nucleotide polymorphisms (SNPs) associated with diseases of the colon including inflammatory bowel diseases (IBD) and colorectal cancer (CRC). However, the functional role of many of these SNPs is largely unknown and tissue-specific resources are lacking. Expression quantitative trait loci (eQTL) mapping identifies target genes of disease-associated SNPs. This study provides a comprehensive eQTL map of distal colonic samples obtained from 40 healthy African Americans and demonstrates their relevance for GWAS of colonic diseases. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 67% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 67% |
Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 3% |
Czechia | 1 | 1% |
Unknown | 90 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 18 | 19% |
Student > Ph. D. Student | 17 | 18% |
Student > Master | 12 | 13% |
Student > Bachelor | 11 | 12% |
Professor > Associate Professor | 5 | 5% |
Other | 13 | 14% |
Unknown | 18 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 23 | 24% |
Agricultural and Biological Sciences | 21 | 22% |
Biochemistry, Genetics and Molecular Biology | 18 | 19% |
Computer Science | 2 | 2% |
Immunology and Microbiology | 2 | 2% |
Other | 8 | 9% |
Unknown | 20 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 18 May 2016.
All research outputs
#15,348,521
of 24,792,414 outputs
Outputs from BMC Genomics
#5,671
of 11,067 outputs
Outputs of similar age
#135,153
of 260,655 outputs
Outputs of similar age from BMC Genomics
#146
of 285 outputs
Altmetric has tracked 24,792,414 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,067 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 46th percentile – i.e., 46% 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 260,655 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 285 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.