| Title |
Computational drug repositioning through heterogeneous network clustering
|
|---|---|
| Published in |
BMC Systems Biology, December 2013
|
| DOI | 10.1186/1752-0509-7-s5-s6 |
| Pubmed ID | |
| Authors |
Chao Wu, Ranga C Gudivada, Bruce J Aronow, Anil G Jegga |
| Abstract |
Given the costly and time consuming process and high attrition rates in drug discovery and development, drug repositioning or drug repurposing is considered as a viable strategy both to replenish the drying out drug pipelines and to surmount the innovation gap. Although there is a growing recognition that mechanistic relationships from molecular to systems level should be integrated into drug discovery paradigms, relatively few studies have integrated information about heterogeneous networks into computational drug-repositioning candidate discovery platforms. |
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 % |
|---|---|---|
| United States | 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 177 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 2% |
| Colombia | 1 | <1% |
| France | 1 | <1% |
| Hungary | 1 | <1% |
| Iran, Islamic Republic of | 1 | <1% |
| India | 1 | <1% |
| Spain | 1 | <1% |
| China | 1 | <1% |
| Unknown | 167 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 40 | 23% |
| Researcher | 30 | 17% |
| Student > Master | 22 | 12% |
| Student > Bachelor | 10 | 6% |
| Professor | 9 | 5% |
| Other | 36 | 20% |
| Unknown | 30 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 28 | 16% |
| Computer Science | 26 | 15% |
| Medicine and Dentistry | 22 | 12% |
| Biochemistry, Genetics and Molecular Biology | 20 | 11% |
| Engineering | 14 | 8% |
| Other | 30 | 17% |
| Unknown | 37 | 21% |
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 08 November 2014.
All research outputs
#15,680,078
of 23,301,510 outputs
Outputs from BMC Systems Biology
#647
of 1,144 outputs
Outputs of similar age
#195,311
of 309,761 outputs
Outputs of similar age from BMC Systems Biology
#34
of 59 outputs
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We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.