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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Visualizing multidimensional cancer genomics data
|
|---|---|
| Published in |
Genome Medicine, January 2013
|
| DOI | 10.1186/gm413 |
| Pubmed ID | |
| Authors |
Michael P Schroeder, Abel Gonzalez-Perez, Nuria Lopez-Bigas |
| Abstract |
Cancer genomics projects employ high-throughput technologies to identify the complete catalog of somatic alterations that characterize the genome, transcriptome and epigenome of cohorts of tumor samples. Examples include projects carried out by the International Cancer Genome Consortium (ICGC) and The Cancer Genome Atlas (TCGA). A crucial step in the extraction of knowledge from the data is the exploration by experts of the different alterations, as well as the multiple relationships between them. To that end, the use of intuitive visualization tools that can integrate different types of alterations with clinical data is essential to the field of cancer genomics. Here, we review effective and common visualization techniques for exploring oncogenomics data and discuss a selection of tools that allow researchers to effectively visualize multidimensional oncogenomics datasets. The review covers visualization methods employed by tools such as Circos, Gitools, the Integrative Genomics Viewer, Cytoscape, Savant Genome Browser, StratomeX and platforms such as cBio Cancer Genomics Portal, IntOGen, the UCSC Cancer Genomics Browser, the Regulome Explorer and the Cancer Genome Workbench. |
X Demographics
The data shown below were collected from the profiles of 18 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 6 | 33% |
| United States | 3 | 17% |
| United Kingdom | 3 | 17% |
| Germany | 1 | 6% |
| Australia | 1 | 6% |
| Sweden | 1 | 6% |
| France | 1 | 6% |
| Unknown | 2 | 11% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 44% |
| Scientists | 8 | 44% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
| Practitioners (doctors, other healthcare professionals) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 313 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | 3% |
| United Kingdom | 7 | 2% |
| Italy | 4 | 1% |
| India | 3 | <1% |
| Netherlands | 3 | <1% |
| Spain | 3 | <1% |
| Canada | 3 | <1% |
| Germany | 2 | <1% |
| Belgium | 2 | <1% |
| Other | 10 | 3% |
| Unknown | 268 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 103 | 33% |
| Student > Ph. D. Student | 78 | 25% |
| Other | 29 | 9% |
| Student > Master | 25 | 8% |
| Professor > Associate Professor | 15 | 5% |
| Other | 43 | 14% |
| Unknown | 20 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 145 | 46% |
| Biochemistry, Genetics and Molecular Biology | 52 | 17% |
| Computer Science | 40 | 13% |
| Medicine and Dentistry | 23 | 7% |
| Mathematics | 4 | 1% |
| Other | 19 | 6% |
| Unknown | 30 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. 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 November 2018.
All research outputs
#1,633,945
of 25,374,647 outputs
Outputs from Genome Medicine
#354
of 1,585 outputs
Outputs of similar age
#15,037
of 290,874 outputs
Outputs of similar age from Genome Medicine
#4
of 23 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,585 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.8. This one has done well, scoring higher than 77% 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 290,874 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.