| Title |
LinkedOmics: analyzing multi-omics data within and across 32 cancer types
|
|---|---|
| Published in |
Nucleic Acids Research, November 2017
|
| DOI | 10.1093/nar/gkx1090 |
| Pubmed ID | |
| Authors |
Suhas V. Vasaikar, Peter Straub, Jing Wang, Bing Zhang |
| Abstract |
The LinkedOmics database contains multi-omics data and clinical data for 32 cancer types and a total of 11 158 patients from The Cancer Genome Atlas (TCGA) project. It is also the first multi-omics database that integrates mass spectrometry (MS)-based global proteomics data generated by the Clinical Proteomic Tumor Analysis Consortium (CPTAC) on selected TCGA tumor samples. In total, LinkedOmics has more than a billion data points. To allow comprehensive analysis of these data, we developed three analysis modules in the LinkedOmics web application. The LinkFinder module allows flexible exploration of associations between a molecular or clinical attribute of interest and all other attributes, providing the opportunity to analyze and visualize associations between billions of attribute pairs for each cancer cohort. The LinkCompare module enables easy comparison of the associations identified by LinkFinder, which is particularly useful in multi-omics and pan-cancer analyses. The LinkInterpreter module transforms identified associations into biological understanding through pathway and network analysis. Using five case studies, we demonstrate that LinkedOmics provides a unique platform for biologists and clinicians to access, analyze and compare cancer multi-omics data within and across tumor types. LinkedOmics is freely available at http://www.linkedomics.org. |
X Demographics
The data shown below were collected from the profiles of 59 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 | 19 | 32% |
| Spain | 3 | 5% |
| United Kingdom | 3 | 5% |
| India | 3 | 5% |
| Australia | 2 | 3% |
| Netherlands | 2 | 3% |
| Qatar | 1 | 2% |
| Finland | 1 | 2% |
| China | 1 | 2% |
| Other | 6 | 10% |
| Unknown | 18 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 32 | 54% |
| Members of the public | 25 | 42% |
| Science communicators (journalists, bloggers, editors) | 2 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 358 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 358 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 57 | 16% |
| Researcher | 51 | 14% |
| Student > Master | 47 | 13% |
| Student > Bachelor | 35 | 10% |
| Student > Doctoral Student | 13 | 4% |
| Other | 41 | 11% |
| Unknown | 114 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 95 | 27% |
| Agricultural and Biological Sciences | 37 | 10% |
| Medicine and Dentistry | 29 | 8% |
| Computer Science | 22 | 6% |
| Immunology and Microbiology | 9 | 3% |
| Other | 34 | 9% |
| Unknown | 132 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 49. 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 23 September 2023.
All research outputs
#869,134
of 25,736,439 outputs
Outputs from Nucleic Acids Research
#380
of 27,704 outputs
Outputs of similar age
#18,041
of 343,697 outputs
Outputs of similar age from Nucleic Acids Research
#12
of 402 outputs
Altmetric has tracked 25,736,439 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 27,704 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has done particularly well, scoring higher than 98% of its peers.
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We're also able to compare this research output to 402 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.