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TSGene 2.0: an updated literature-based knowledgebase for tumor suppressor genes

Overview of attention for article published in Nucleic Acids Research, November 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

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1 news outlet
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1 peer review site
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1 Google+ user

Citations

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335 Dimensions

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180 Mendeley
Title
TSGene 2.0: an updated literature-based knowledgebase for tumor suppressor genes
Published in
Nucleic Acids Research, November 2015
DOI 10.1093/nar/gkv1268
Pubmed ID
Authors

Min Zhao, Pora Kim, Ramkrishna Mitra, Junfei Zhao, Zhongming Zhao

Abstract

Tumor suppressor genes (TSGs) are a major type of gatekeeper genes in the cell growth. A knowledgebase with the systematic collection and curation of TSGs in multiple cancer types is critically important for further studying their biological functions as well as for developing therapeutic strategies. Since its development in 2012, the Tumor Suppressor Gene database (TSGene), has become a popular resource in the cancer research community. Here, we reported the TSGene version 2.0, which has substantial updates of contents (e.g. up-to-date literature and pan-cancer genomic data collection and curation), data types (noncoding RNAs and protein-coding genes) and content accessibility. Specifically, the current TSGene 2.0 contains 1217 human TSGs (1018 protein-coding and 199 non-coding genes) curated from over 9000 articles. Additionally, TSGene 2.0 provides thousands of expression and mutation patterns derived from pan-cancer data of The Cancer Genome Atlas. A new web interface is available at http://bioinfo.mc.vanderbilt.edu/TSGene/. Systematic analyses of 199 non-coding TSGs provide numerous cancer-specific non-coding mutational events for further screening and clinical use. Intriguingly, we identified 49 protein-coding TSGs that were consistently down-regulated in 11 cancer types. In summary, TSGene 2.0, which is the only available database for TSGs, provides the most updated TSGs and their features in pan-cancer.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 180 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 1%
Japan 1 <1%
Sweden 1 <1%
Brazil 1 <1%
Unknown 175 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 37 21%
Researcher 36 20%
Student > Master 24 13%
Student > Bachelor 11 6%
Other 9 5%
Other 22 12%
Unknown 41 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 53 29%
Agricultural and Biological Sciences 37 21%
Medicine and Dentistry 16 9%
Computer Science 7 4%
Neuroscience 4 2%
Other 19 11%
Unknown 44 24%
Attention Score in Context

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 20 September 2023.
All research outputs
#1,576,756
of 24,471,305 outputs
Outputs from Nucleic Acids Research
#1,252
of 27,159 outputs
Outputs of similar age
#26,705
of 396,338 outputs
Outputs of similar age from Nucleic Acids Research
#36
of 405 outputs
Altmetric has tracked 24,471,305 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 27,159 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has done particularly well, scoring higher than 95% 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 396,338 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 93% of its contemporaries.
We're also able to compare this research output to 405 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 91% of its contemporaries.