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TSVdb: a web-tool for TCGA splicing variants analysis

Overview of attention for article published in BMC Genomics, May 2018
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  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

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Title
TSVdb: a web-tool for TCGA splicing variants analysis
Published in
BMC Genomics, May 2018
DOI 10.1186/s12864-018-4775-x
Pubmed ID
Authors

Wenjie Sun, Ting Duan, Panmeng Ye, Kelie Chen, Guanling Zhang, Maode Lai, Honghe Zhang

Abstract

Collaborative projects such as The Cancer Genome Atlas (TCGA) have generated various -omics and clinical data on cancer. Many computational tools have been developed to facilitate the study of the molecular characterization of tumors using data from the TCGA. Alternative splicing of a gene produces splicing variants, and accumulating evidence has revealed its essential role in cancer-related processes, implying the urgent need to discover tumor-specific isoforms and uncover their potential functions in tumorigenesis. We developed TSVdb, a web-based tool, to explore alternative splicing based on TCGA samples with 30 clinical variables from 33 tumors. TSVdb has an integrated and well-proportioned interface for visualization of the clinical data, gene expression, usage of exons/junctions and splicing patterns. Researchers can interpret the isoform expression variations between or across clinical subgroups and estimate the relationships between isoforms and patient prognosis. TSVdb is available at http://www.tsvdb.com , and the source code is available at https://github.com/wenjie1991/TSVdb . TSVdb will inspire oncologists and accelerate isoform-level advances in cancer research.

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X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 70 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 20%
Researcher 13 19%
Student > Bachelor 5 7%
Student > Doctoral Student 5 7%
Student > Master 5 7%
Other 8 11%
Unknown 20 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 24 34%
Agricultural and Biological Sciences 10 14%
Medicine and Dentistry 3 4%
Computer Science 2 3%
Unspecified 2 3%
Other 5 7%
Unknown 24 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 17 October 2023.
All research outputs
#6,952,861
of 24,682,395 outputs
Outputs from BMC Genomics
#2,882
of 11,040 outputs
Outputs of similar age
#114,340
of 336,870 outputs
Outputs of similar age from BMC Genomics
#71
of 259 outputs
Altmetric has tracked 24,682,395 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 11,040 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 73% 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 336,870 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 259 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.