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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Integrating human omics data to prioritize candidate genes
|
|---|---|
| Published in |
BMC Medical Genomics, December 2013
|
| DOI | 10.1186/1755-8794-6-57 |
| Pubmed ID | |
| Authors |
Yong Chen, Xuebing Wu, Rui Jiang |
| Abstract |
The identification of genes involved in human complex diseases remains a great challenge in computational systems biology. Although methods have been developed to use disease phenotypic similarities with a protein-protein interaction network for the prioritization of candidate genes, other valuable omics data sources have been largely overlooked in these methods. |
X Demographics
The data shown below were collected from the profiles of 12 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 | 5 | 42% |
| Spain | 1 | 8% |
| Japan | 1 | 8% |
| Australia | 1 | 8% |
| Unknown | 4 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 8 | 67% |
| Members of the public | 3 | 25% |
| Practitioners (doctors, other healthcare professionals) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| United States | 1 | 2% |
| China | 1 | 2% |
| Unknown | 61 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 27% |
| Student > Ph. D. Student | 14 | 22% |
| Student > Master | 7 | 11% |
| Professor | 5 | 8% |
| Student > Doctoral Student | 4 | 6% |
| Other | 11 | 17% |
| Unknown | 6 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 24 | 38% |
| Computer Science | 10 | 16% |
| Biochemistry, Genetics and Molecular Biology | 9 | 14% |
| Medicine and Dentistry | 5 | 8% |
| Immunology and Microbiology | 2 | 3% |
| Other | 3 | 5% |
| Unknown | 11 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 19 April 2014.
All research outputs
#4,952,004
of 23,881,329 outputs
Outputs from BMC Medical Genomics
#231
of 1,268 outputs
Outputs of similar age
#58,018
of 312,042 outputs
Outputs of similar age from BMC Medical Genomics
#6
of 17 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,268 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 82% of its peers.
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 312,042 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.