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Gene Expression Atlas update—a value-added database of microarray and sequencing-based functional genomics experiments

Overview of attention for article published in Nucleic Acids Research, November 2011
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

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2 X users
wikipedia
1 Wikipedia page

Citations

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148 Dimensions

Readers on

mendeley
169 Mendeley
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8 CiteULike
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Title
Gene Expression Atlas update—a value-added database of microarray and sequencing-based functional genomics experiments
Published in
Nucleic Acids Research, November 2011
DOI 10.1093/nar/gkr913
Pubmed ID
Authors

Misha Kapushesky, Tomasz Adamusiak, Tony Burdett, Aedin Culhane, Anna Farne, Alexey Filippov, Ele Holloway, Andrey Klebanov, Nataliya Kryvych, Natalja Kurbatova, Pavel Kurnosov, James Malone, Olga Melnichuk, Robert Petryszak, Nikolay Pultsin, Gabriella Rustici, Andrew Tikhonov, Ravensara S. Travillian, Eleanor Williams, Andrey Zorin, Helen Parkinson, Alvis Brazma

Abstract

Gene Expression Atlas (http://www.ebi.ac.uk/gxa) is an added-value database providing information about gene expression in different cell types, organism parts, developmental stages, disease states, sample treatments and other biological/experimental conditions. The content of this database derives from curation, re-annotation and statistical analysis of selected data from the ArrayExpress Archive and the European Nucleotide Archive. A simple interface allows the user to query for differential gene expression either by gene names or attributes or by biological conditions, e.g. diseases, organism parts or cell types. Since our previous report we made 20 monthly releases and, as of Release 11.08 (August 2011), the database supports 19 species, which contains expression data measured for 19,014 biological conditions in 136,551 assays from 5598 independent studies.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 169 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 7 4%
United States 4 2%
France 2 1%
Brazil 2 1%
Netherlands 1 <1%
Italy 1 <1%
Sweden 1 <1%
Chile 1 <1%
India 1 <1%
Other 3 2%
Unknown 146 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 55 33%
Student > Ph. D. Student 38 22%
Student > Master 15 9%
Student > Bachelor 11 7%
Other 10 6%
Other 31 18%
Unknown 9 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 82 49%
Biochemistry, Genetics and Molecular Biology 24 14%
Computer Science 17 10%
Medicine and Dentistry 16 9%
Neuroscience 2 1%
Other 13 8%
Unknown 15 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 25 September 2019.
All research outputs
#6,376,108
of 22,656,971 outputs
Outputs from Nucleic Acids Research
#11,013
of 26,277 outputs
Outputs of similar age
#39,397
of 142,328 outputs
Outputs of similar age from Nucleic Acids Research
#146
of 339 outputs
Altmetric has tracked 22,656,971 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 26,277 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has gotten more attention than average, scoring higher than 56% 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 142,328 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 70% of its contemporaries.
We're also able to compare this research output to 339 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 53% of its contemporaries.