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Mendeley readers
Attention Score in Context
| Title |
Graph based fusion of miRNA and mRNA expression data improves clinical outcome prediction in prostate cancer
|
|---|---|
| Published in |
BMC Bioinformatics, December 2011
|
| DOI | 10.1186/1471-2105-12-488 |
| Pubmed ID | |
| Authors |
Stephan Gade, Christine Porzelius, Maria Fälth, Jan C Brase, Daniela Wuttig, Ruprecht Kuner, Harald Binder, Holger Sültmann, Tim Beißbarth |
| Abstract |
One of the main goals in cancer studies including high-throughput microRNA (miRNA) and mRNA data is to find and assess prognostic signatures capable of predicting clinical outcome. Both mRNA and miRNA expression changes in cancer diseases are described to reflect clinical characteristics like staging and prognosis. Furthermore, miRNA abundance can directly affect target transcripts and translation in tumor cells. Prediction models are trained to identify either mRNA or miRNA signatures for patient stratification. With the increasing number of microarray studies collecting mRNA and miRNA from the same patient cohort there is a need for statistical methods to integrate or fuse both kinds of data into one prediction model in order to find a combined signature that improves the prediction. |
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% |
| France | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 1% |
| Ukraine | 1 | 1% |
| Slovenia | 1 | 1% |
| Mexico | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 69 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 22 | 30% |
| Researcher | 16 | 22% |
| Student > Master | 10 | 14% |
| Student > Bachelor | 8 | 11% |
| Professor > Associate Professor | 6 | 8% |
| Other | 9 | 12% |
| Unknown | 3 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 24 | 32% |
| Computer Science | 22 | 30% |
| Biochemistry, Genetics and Molecular Biology | 5 | 7% |
| Engineering | 5 | 7% |
| Mathematics | 4 | 5% |
| Other | 8 | 11% |
| Unknown | 6 | 8% |
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 22 December 2011.
All research outputs
#17,652,807
of 22,659,164 outputs
Outputs from BMC Bioinformatics
#5,908
of 7,240 outputs
Outputs of similar age
#190,874
of 243,043 outputs
Outputs of similar age from BMC Bioinformatics
#81
of 100 outputs
Altmetric has tracked 22,659,164 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,240 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 13th percentile – i.e., 13% 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 243,043 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 100 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.