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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A network flow approach to predict drug targets from microarray data, disease genes and interactome network - case study on prostate cancer
|
|---|---|
| Published in |
Journal of Clinical Bioinformatics, January 2012
|
| DOI | 10.1186/2043-9113-2-1 |
| Pubmed ID | |
| Authors |
Shih-Heng Yeh, Hsiang-Yuan Yeh, Von-Wun Soo |
| Abstract |
Systematic approach for drug discovery is an emerging discipline in systems biology research area. It aims at integrating interaction data and experimental data to elucidate diseases and also raises new issues in drug discovery for cancer treatment. However, drug target discovery is still at a trial-and-error experimental stage and it is a challenging task to develop a prediction model that can systematically detect possible drug targets to deal with complex diseases. |
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 % |
|---|---|---|
| Germany | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 5% |
| France | 2 | 2% |
| Australia | 1 | 1% |
| Sweden | 1 | 1% |
| Brazil | 1 | 1% |
| Unknown | 85 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 34 | 36% |
| Researcher | 17 | 18% |
| Student > Master | 8 | 8% |
| Student > Bachelor | 6 | 6% |
| Student > Postgraduate | 5 | 5% |
| Other | 14 | 15% |
| Unknown | 11 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 34 | 36% |
| Computer Science | 21 | 22% |
| Biochemistry, Genetics and Molecular Biology | 7 | 7% |
| Engineering | 6 | 6% |
| Medicine and Dentistry | 5 | 5% |
| Other | 10 | 11% |
| Unknown | 12 | 13% |
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 13 January 2012.
All research outputs
#17,285,668
of 25,373,627 outputs
Outputs from Journal of Clinical Bioinformatics
#33
of 61 outputs
Outputs of similar age
#170,606
of 248,750 outputs
Outputs of similar age from Journal of Clinical Bioinformatics
#3
of 8 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% 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 31st percentile – i.e., 31% 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 248,750 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.