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RefEx, a reference gene expression dataset as a web tool for the functional analysis of genes

Overview of attention for article published in Scientific Data, August 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)

Mentioned by

news
4 news outlets
blogs
1 blog
twitter
63 tweeters

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
56 Mendeley
Title
RefEx, a reference gene expression dataset as a web tool for the functional analysis of genes
Published in
Scientific Data, August 2017
DOI 10.1038/sdata.2017.105
Pubmed ID
Authors

Hiromasa Ono, Osamu Ogasawara, Kosaku Okubo, Hidemasa Bono

Abstract

Gene expression data are exponentially accumulating; thus, the functional annotation of such sequence data from metadata is urgently required. However, life scientists have difficulty utilizing the available data due to its sheer magnitude and complicated access. We have developed a web tool for browsing reference gene expression pattern of mammalian tissues and cell lines measured using different methods, which should facilitate the reuse of the precious data archived in several public databases. The web tool is called Reference Expression dataset (RefEx), and RefEx allows users to search by the gene name, various types of IDs, chromosomal regions in genetic maps, gene family based on InterPro, gene expression patterns, or biological categories based on Gene Ontology. RefEx also provides information about genes with tissue-specific expression, and the relative gene expression values are shown as choropleth maps on 3D human body images from BodyParts3D. Combined with the newly incorporated Functional Annotation of Mammals (FANTOM) dataset, RefEx provides insight regarding the functional interpretation of unfamiliar genes. RefEx is publicly available at http://refex.dbcls.jp/.

Twitter Demographics

The data shown below were collected from the profiles of 63 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 56 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 18%
Researcher 10 18%
Professor > Associate Professor 7 13%
Student > Doctoral Student 6 11%
Other 5 9%
Other 11 20%
Unknown 7 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 38%
Biochemistry, Genetics and Molecular Biology 13 23%
Medicine and Dentistry 7 13%
Engineering 2 4%
Computer Science 2 4%
Other 4 7%
Unknown 7 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 72. 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 28 December 2017.
All research outputs
#251,164
of 13,999,346 outputs
Outputs from Scientific Data
#83
of 1,025 outputs
Outputs of similar age
#10,184
of 268,781 outputs
Outputs of similar age from Scientific Data
#1
of 1 outputs
Altmetric has tracked 13,999,346 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,025 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.6. This one has done particularly well, scoring higher than 91% 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 268,781 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 96% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them