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X Demographics
Mendeley readers
Attention Score in Context
| Title |
dRiskKB: a large-scale disease-disease risk relationship knowledge base constructed from biomedical text
|
|---|---|
| Published in |
BMC Bioinformatics, April 2014
|
| DOI | 10.1186/1471-2105-15-105 |
| Pubmed ID | |
| Authors |
Rong Xu, Li Li, QuanQiu Wang |
| Abstract |
Discerning the genetic contributions to complex human diseases is a challenging mandate that demands new types of data and calls for new avenues for advancing the state-of-the-art in computational approaches to uncovering disease etiology. Systems approaches to studying observable phenotypic relationships among diseases are emerging as an active area of research for both novel disease gene discovery and drug repositioning. Currently, systematic study of disease relationships on a phenome-wide scale is limited due to the lack of large-scale machine understandable disease phenotype relationship knowledge bases. Our study innovates a semi-supervised iterative pattern learning approach that is used to build an precise, large-scale disease-disease risk relationship (D1 → D2) knowledge base (dRiskKB) from a vast corpus of free-text published biomedical literature. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 2 | 33% |
| Korea, Republic of | 1 | 17% |
| United States | 1 | 17% |
| Norway | 1 | 17% |
| Unknown | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 50% |
| Members of the public | 3 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| Netherlands | 1 | 1% |
| Korea, Republic of | 1 | 1% |
| New Caledonia | 1 | 1% |
| Hong Kong | 1 | 1% |
| Spain | 1 | 1% |
| Brazil | 1 | 1% |
| Unknown | 75 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 24% |
| Researcher | 13 | 16% |
| Student > Master | 8 | 10% |
| Professor > Associate Professor | 5 | 6% |
| Student > Bachelor | 4 | 5% |
| Other | 15 | 18% |
| Unknown | 18 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 15 | 18% |
| Medicine and Dentistry | 11 | 13% |
| Agricultural and Biological Sciences | 9 | 11% |
| Biochemistry, Genetics and Molecular Biology | 5 | 6% |
| Nursing and Health Professions | 3 | 4% |
| Other | 14 | 17% |
| Unknown | 26 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 January 2016.
All research outputs
#2,996,484
of 23,577,761 outputs
Outputs from BMC Bioinformatics
#1,018
of 7,418 outputs
Outputs of similar age
#30,613
of 228,468 outputs
Outputs of similar age from BMC Bioinformatics
#17
of 114 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,418 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 86% 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 228,468 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 86% of its contemporaries.
We're also able to compare this research output to 114 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.