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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Using gene expression data to identify certain gastro-intestinal diseases
|
|---|---|
| Published in |
Journal of Clinical Bioinformatics, November 2012
|
| DOI | 10.1186/2043-9113-2-20 |
| Pubmed ID | |
| Authors |
Philip S Crooke, John T Tossberg, Sara N Horst, John L Tauscher, Melodie A Henderson, Dawn B Beaulieu, David A Schwartz, Nancy J Olsen, Thomas M Aune |
| Abstract |
Inflammatory bowel diseases, ulcerative colitis and Crohn's disease are considered to be of autoimmune origin, but the etiology of irritable bowel syndrome remains elusive. Furthermore, classifying patients into irritable bowel syndrome and inflammatory bowel diseases can be difficult without invasive testing and holds important treatment implications. Our aim was to assess the ability of gene expression profiling in blood to differentiate among these subject groups. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| Germany | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 44% |
| Student > Ph. D. Student | 3 | 17% |
| Student > Master | 3 | 17% |
| Other | 2 | 11% |
| Student > Bachelor | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 1 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 7 | 39% |
| Biochemistry, Genetics and Molecular Biology | 3 | 17% |
| Medicine and Dentistry | 3 | 17% |
| Computer Science | 1 | 6% |
| Mathematics | 1 | 6% |
| Other | 2 | 11% |
| Unknown | 1 | 6% |
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 23 November 2012.
All research outputs
#16,722,190
of 25,374,917 outputs
Outputs from Journal of Clinical Bioinformatics
#31
of 61 outputs
Outputs of similar age
#185,903
of 285,368 outputs
Outputs of similar age from Journal of Clinical Bioinformatics
#6
of 7 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 61 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 47th percentile – i.e., 47% 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 285,368 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one.