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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Functional and genetic analysis of the colon cancer network
|
|---|---|
| Published in |
BMC Bioinformatics, May 2014
|
| DOI | 10.1186/1471-2105-15-s6-s6 |
| Pubmed ID | |
| Authors |
Frank Emmert-Streib, Ricardo de Matos Simoes, Galina Glazko, Simon McDade, Benjamin Haibe-Kains, Andreas Holzinger, Matthias Dehmer, Frederick Charles Campbell |
| Abstract |
Cancer is a complex disease that has proven to be difficult to understand on the single-gene level. For this reason a functional elucidation needs to take interactions among genes on a systems-level into account. In this study, we infer a colon cancer network from a large-scale gene expression data set by using the method BC3Net. We provide a structural and a functional analysis of this network and also connect its molecular interaction structure with the chromosomal locations of the genes enabling the definition of cis- and trans-interactions. Furthermore, we investigate the interaction of genes that can be found in close neighborhoods on the chromosomes to gain insight into regulatory mechanisms. To our knowledge this is the first study analyzing the genome-scale colon cancer network. |
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 % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 2% |
| Bulgaria | 1 | 2% |
| Austria | 1 | 2% |
| Unknown | 43 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 28% |
| Student > Ph. D. Student | 8 | 17% |
| Student > Bachelor | 4 | 9% |
| Professor > Associate Professor | 4 | 9% |
| Student > Master | 4 | 9% |
| Other | 6 | 13% |
| Unknown | 7 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 13 | 28% |
| Computer Science | 10 | 22% |
| Medicine and Dentistry | 3 | 7% |
| Biochemistry, Genetics and Molecular Biology | 3 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Other | 6 | 13% |
| Unknown | 10 | 22% |
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 01 October 2014.
All research outputs
#17,724,033
of 22,759,618 outputs
Outputs from BMC Bioinformatics
#5,928
of 7,273 outputs
Outputs of similar age
#156,247
of 227,064 outputs
Outputs of similar age from BMC Bioinformatics
#101
of 149 outputs
Altmetric has tracked 22,759,618 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 7,273 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 227,064 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 149 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.