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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Exploring drug-target interaction networks of illicit drugs
|
|---|---|
| Published in |
BMC Genomics, October 2013
|
| DOI | 10.1186/1471-2164-14-s4-s1 |
| Pubmed ID | |
| Authors |
Ravi V Atreya, Jingchun Sun, Zhongming Zhao |
| Abstract |
Drug addiction is a complex and chronic mental disease, which places a large burden on the American healthcare system due to its negative effects on patients and their families. Recently, network pharmacology is emerging as a promising approach to drug discovery by integrating network biology and polypharmacology, allowing for a deeper understanding of molecular mechanisms of drug actions at the systems level. This study seeks to apply this approach for investigation of illicit drugs and their targets in order to elucidate their interaction patterns and potential secondary drugs that can aid future research and clinical care. |
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 Kingdom | 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 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Hungary | 1 | 1% |
| Germany | 1 | 1% |
| India | 1 | 1% |
| China | 1 | 1% |
| Spain | 1 | 1% |
| Unknown | 70 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 17% |
| Student > Master | 10 | 13% |
| Researcher | 9 | 12% |
| Student > Doctoral Student | 8 | 11% |
| Other | 6 | 8% |
| Other | 15 | 20% |
| Unknown | 14 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 12 | 16% |
| Agricultural and Biological Sciences | 10 | 13% |
| Biochemistry, Genetics and Molecular Biology | 8 | 11% |
| Computer Science | 7 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 7% |
| Other | 16 | 21% |
| Unknown | 17 | 23% |
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 December 2013.
All research outputs
#18,355,685
of 22,733,113 outputs
Outputs from BMC Genomics
#8,159
of 10,631 outputs
Outputs of similar age
#154,393
of 207,137 outputs
Outputs of similar age from BMC Genomics
#94
of 148 outputs
Altmetric has tracked 22,733,113 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,631 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 12th percentile – i.e., 12% 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 207,137 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 148 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.