| Title |
Detecting microRNAs of high influence on protein functional interaction networks: a prostate cancer case study
|
|---|---|
| Published in |
BMC Systems Biology, August 2012
|
| DOI | 10.1186/1752-0509-6-112 |
| Pubmed ID | |
| Authors |
Mohammed Alshalalfa, Gary D Bader, Anna Goldenberg, Quaid Morris, Reda Alhajj |
| Abstract |
The use of biological molecular network information for diagnostic and prognostic purposes and elucidation of molecular disease mechanism is a key objective in systems biomedicine. The network of regulatory miRNA-target and functional protein interactions is a rich source of information to elucidate the function and the prognostic value of miRNAs in cancer. The objective of this study is to identify miRNAs that have high influence on target protein complexes in prostate cancer as a case study. This could provide biomarkers or therapeutic targets relevant for prostate cancer treatment. |
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 % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Italy | 1 | 2% |
| Canada | 1 | 2% |
| Unknown | 40 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 26% |
| Researcher | 9 | 21% |
| Professor > Associate Professor | 6 | 14% |
| Student > Bachelor | 4 | 9% |
| Student > Master | 4 | 9% |
| Other | 6 | 14% |
| Unknown | 3 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 18 | 42% |
| Biochemistry, Genetics and Molecular Biology | 9 | 21% |
| Medicine and Dentistry | 6 | 14% |
| Computer Science | 5 | 12% |
| Physics and Astronomy | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 3 | 7% |
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 23 November 2012.
All research outputs
#17,285,036
of 25,373,627 outputs
Outputs from BMC Systems Biology
#651
of 1,132 outputs
Outputs of similar age
#124,937
of 187,801 outputs
Outputs of similar age from BMC Systems Biology
#24
of 37 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 1,132 research outputs from this source. They receive a mean Attention Score of 3.7. 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 187,801 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.