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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The gene regulatory network for breast cancer: integrated regulatory landscape of cancer hallmarks
|
|---|---|
| Published in |
Frontiers in Genetics, January 2014
|
| DOI | 10.3389/fgene.2014.00015 |
| Pubmed ID | |
| Authors |
Frank Emmert-Streib, Ricardo de Matos Simoes, Paul Mullan, Benjamin Haibe-Kains, Matthias Dehmer |
| Abstract |
In this study, we infer the breast cancer gene regulatory network from gene expression data. This network is obtained from the application of the BC3Net inference algorithm to a large-scale gene expression data set consisting of 351 patient samples. In order to elucidate the functional relevance of the inferred network, we are performing a Gene Ontology (GO) analysis for its structural components. Our analysis reveals that most significant GO-terms we find for the breast cancer network represent functional modules of biological processes that are described by known cancer hallmarks, including translation, immune response, cell cycle, organelle fission, mitosis, cell adhesion, RNA processing, RNA splicing and response to wounding. Furthermore, by using a curated list of census cancer genes, we find an enrichment in these functional modules. Finally, we study cooperative effects of chromosomes based on information of interacting genes in the beast cancer network. We find that chromosome 21 is most coactive with other chromosomes. To our knowledge this is the first study investigating the genome-scale breast cancer network. |
X Demographics
The data shown below were collected from the profiles of 17 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 24% |
| India | 2 | 12% |
| France | 1 | 6% |
| Chile | 1 | 6% |
| Finland | 1 | 6% |
| Brazil | 1 | 6% |
| Ireland | 1 | 6% |
| Switzerland | 1 | 6% |
| Unknown | 5 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 59% |
| Scientists | 5 | 29% |
| Practitioners (doctors, other healthcare professionals) | 2 | 12% |
Mendeley readers
The data shown below were compiled from readership statistics for 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | <1% |
| Bulgaria | 1 | <1% |
| Italy | 1 | <1% |
| Brazil | 1 | <1% |
| Mexico | 1 | <1% |
| Spain | 1 | <1% |
| Greece | 1 | <1% |
| Unknown | 121 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 27 | 21% |
| Student > Ph. D. Student | 24 | 19% |
| Student > Master | 16 | 13% |
| Student > Bachelor | 11 | 9% |
| Student > Doctoral Student | 8 | 6% |
| Other | 16 | 13% |
| Unknown | 26 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 30 | 23% |
| Biochemistry, Genetics and Molecular Biology | 28 | 22% |
| Computer Science | 17 | 13% |
| Medicine and Dentistry | 7 | 5% |
| Mathematics | 3 | 2% |
| Other | 11 | 9% |
| Unknown | 32 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 04 August 2015.
All research outputs
#3,535,223
of 25,388,177 outputs
Outputs from Frontiers in Genetics
#1,001
of 13,691 outputs
Outputs of similar age
#39,801
of 319,388 outputs
Outputs of similar age from Frontiers in Genetics
#8
of 54 outputs
Altmetric has tracked 25,388,177 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,691 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 92% of its peers.
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 319,388 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.