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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Web-TCGA: an online platform for integrated analysis of molecular cancer data sets
|
|---|---|
| Published in |
BMC Bioinformatics, February 2016
|
| DOI | 10.1186/s12859-016-0917-9 |
| Pubmed ID | |
| Authors |
Mario Deng, Johannes Brägelmann, Joachim L. Schultze, Sven Perner |
| Abstract |
The Cancer Genome Atlas (TCGA) is a pool of molecular data sets publicly accessible and freely available to cancer researchers anywhere around the world. However, wide spread use is limited since an advanced knowledge of statistics and statistical software is required. In order to improve accessibility we created Web-TCGA, a web based, freely accessible online tool, which can also be run in a private instance, for integrated analysis of molecular cancer data sets provided by TCGA. In contrast to already available tools, Web-TCGA utilizes different methods for analysis and visualization of TCGA data, allowing users to generate global molecular profiles across different cancer entities simultaneously. In addition to global molecular profiles, Web-TCGA offers highly detailed gene and tumor entity centric analysis by providing interactive tables and views. As a supplement to other already available tools, such as cBioPortal (Sci Signal 6:pl1, 2013, Cancer Discov 2:401-4, 2012), Web-TCGA is offering an analysis service, which does not require any installation or configuration, for molecular data sets available at the TCGA. Individual processing requests (queries) are generated by the user for mutation, methylation, expression and copy number variation (CNV) analyses. The user can focus analyses on results from single genes and cancer entities or perform a global analysis (multiple cancer entities and genes simultaneously). |
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 % |
|---|---|---|
| United States | 7 | 39% |
| Montenegro | 1 | 6% |
| Canada | 1 | 6% |
| Japan | 1 | 6% |
| Spain | 1 | 6% |
| Italy | 1 | 6% |
| Unknown | 6 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 10 | 56% |
| Members of the public | 7 | 39% |
| Practitioners (doctors, other healthcare professionals) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 129 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| Sweden | 1 | <1% |
| Denmark | 1 | <1% |
| Unknown | 126 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 25 | 19% |
| Student > Master | 20 | 16% |
| Researcher | 19 | 15% |
| Student > Bachelor | 12 | 9% |
| Student > Postgraduate | 7 | 5% |
| Other | 22 | 17% |
| Unknown | 24 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 35 | 27% |
| Agricultural and Biological Sciences | 23 | 18% |
| Medicine and Dentistry | 20 | 16% |
| Computer Science | 10 | 8% |
| Immunology and Microbiology | 4 | 3% |
| Other | 9 | 7% |
| Unknown | 28 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 10 April 2016.
All research outputs
#3,317,414
of 24,991,957 outputs
Outputs from BMC Bioinformatics
#1,077
of 7,629 outputs
Outputs of similar age
#56,720
of 408,430 outputs
Outputs of similar age from BMC Bioinformatics
#30
of 140 outputs
Altmetric has tracked 24,991,957 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 7,629 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 85% 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 408,430 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 86% of its contemporaries.
We're also able to compare this research output to 140 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.