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Attention Score in Context
| Title |
Harnessing the complexity of gene expression data from cancer: from single gene to structural pathway methods
|
|---|---|
| Published in |
Biology Direct, January 2012
|
| DOI | 10.1186/1745-6150-7-44 |
| Pubmed ID | |
| Authors |
Frank Emmert-Streib, Shailesh Tripathi, Ricardo Matos Simoes |
| Abstract |
High-dimensional gene expression data provide a rich source of information because they capture the expression level of genes in dynamic states that reflect the biological functioning of a cell. For this reason, such data are suitable to reveal systems related properties inside a cell, e.g., in order to elucidate molecular mechanisms of complex diseases like breast or prostate cancer. However, this is not only strongly dependent on the sample size and the correlation structure of a data set, but also on the statistical hypotheses tested. Many different approaches have been developed over the years to analyze gene expression data to (I) identify changes in single genes, (II) identify changes in gene sets or pathways, and (III) identify changes in the correlation structure in pathways. In this paper, we review statistical methods for all three types of approaches, including subtypes, in the context of cancer data and provide links to software implementations and tools and address also the general problem of multiple hypotheses testing. Further, we provide recommendations for the selection of such analysis methods. |
Twitter Demographics
The data shown below were collected from the profile of 1 tweeter 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 % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 2% |
| Brazil | 1 | 2% |
| Sweden | 1 | 2% |
| India | 1 | 2% |
| Spain | 1 | 2% |
| Unknown | 50 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 22 | 40% |
| Student > Ph. D. Student | 12 | 22% |
| Student > Bachelor | 4 | 7% |
| Student > Postgraduate | 4 | 7% |
| Student > Master | 3 | 5% |
| Other | 5 | 9% |
| Unknown | 5 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 25 | 45% |
| Biochemistry, Genetics and Molecular Biology | 8 | 15% |
| Medicine and Dentistry | 6 | 11% |
| Computer Science | 5 | 9% |
| Mathematics | 2 | 4% |
| Other | 4 | 7% |
| Unknown | 5 | 9% |
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 11 December 2012.
All research outputs
#18,323,689
of 22,689,790 outputs
Outputs from Biology Direct
#413
of 487 outputs
Outputs of similar age
#196,007
of 244,142 outputs
Outputs of similar age from Biology Direct
#23
of 27 outputs
Altmetric has tracked 22,689,790 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 487 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one is in the 7th percentile – i.e., 7% 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 244,142 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.