↓ Skip to main content

FusionCancer: a database of cancer fusion genes derived from RNA-seq data

Overview of attention for article published in Diagnostic Pathology, July 2015
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#22 of 1,126)
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

blogs
1 blog
twitter
11 X users
facebook
1 Facebook page
wikipedia
1 Wikipedia page

Citations

dimensions_citation
63 Dimensions

Readers on

mendeley
76 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
FusionCancer: a database of cancer fusion genes derived from RNA-seq data
Published in
Diagnostic Pathology, July 2015
DOI 10.1186/s13000-015-0310-4
Pubmed ID
Authors

Yunjin Wang, Nan Wu, Jiaqi Liu, Zhihong Wu, Dong Dong

Abstract

Fusion genes are chimeric results originated from previous separate genes with aberrant functions. The resulting protein products may lead to abnormal status of expression levels, functions and action sites, which in return may cause the abnormal proliferation of cells and cancer development. With the emergence of next-generation sequencing technology, RNA-seq has spurred gene fusion discovery in various cancer types. In this work, we compiled 591 recently published RNA-seq datasets in 15 kinds of human cancer, and the gene fusion events were comprehensively identified. Based on the results, a database was developed for gene fusion in cancers (FusionCancer), with the attempt to provide a user-friendly utility for the cancer research community. A flexible query engine has been developed for the acquisition of annotated information of cancer fusion genes, which would help users to determine the chimera events leading to functional changes. FusionCancer can be accessible at the following hyperlink website: http://donglab.ecnu.edu.cn/databases/FusionCancer/ To the best of our knowledge, FusionCancer is the first comprehensive fusion gene database derived only from cancer RNA-seq data.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 1%
France 1 1%
United Kingdom 1 1%
Denmark 1 1%
Japan 1 1%
United States 1 1%
Luxembourg 1 1%
Unknown 69 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 24%
Student > Ph. D. Student 15 20%
Student > Doctoral Student 8 11%
Student > Master 6 8%
Student > Bachelor 5 7%
Other 13 17%
Unknown 11 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 33 43%
Biochemistry, Genetics and Molecular Biology 19 25%
Medicine and Dentistry 9 12%
Computer Science 2 3%
Pharmacology, Toxicology and Pharmaceutical Science 1 1%
Other 1 1%
Unknown 11 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 09 May 2018.
All research outputs
#1,940,604
of 22,818,766 outputs
Outputs from Diagnostic Pathology
#22
of 1,126 outputs
Outputs of similar age
#26,652
of 263,394 outputs
Outputs of similar age from Diagnostic Pathology
#2
of 77 outputs
Altmetric has tracked 22,818,766 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,126 research outputs from this source. They receive a mean Attention Score of 2.8. This one has done particularly well, scoring higher than 98% 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 263,394 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 89% of its contemporaries.
We're also able to compare this research output to 77 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.