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The GENCODE pseudogene resource

Overview of attention for article published in Genome Biology (Online Edition), January 2012
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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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

blogs
5 blogs
twitter
13 tweeters
patent
2 patents
facebook
1 Facebook page
wikipedia
9 Wikipedia pages
q&a
1 Q&A thread

Citations

dimensions_citation
257 Dimensions

Readers on

mendeley
724 Mendeley
citeulike
10 CiteULike
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Title
The GENCODE pseudogene resource
Published in
Genome Biology (Online Edition), January 2012
DOI 10.1186/gb-2012-13-9-r51
Pubmed ID
Authors

Baikang Pei, Cristina Sisu, Adam Frankish, Cédric Howald, Lukas Habegger, Xinmeng Mu, Rachel Harte, Suganthi Balasubramanian, Andrea Tanzer, Mark Diekhans, Alexandre Reymond, Tim J Hubbard, Jennifer Harrow, Mark B Gerstein

Abstract

Pseudogenes have long been considered as nonfunctional genomic sequences. However, recent evidence suggests that many of them might have some form of biological activity, and the possibility of functionality has increased interest in their accurate annotation and integration with functional genomics data.

Twitter Demographics

The data shown below were collected from the profiles of 13 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 724 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 20 3%
Germany 10 1%
United Kingdom 6 <1%
Spain 5 <1%
Sweden 4 <1%
Italy 3 <1%
Australia 3 <1%
Portugal 2 <1%
New Zealand 2 <1%
Other 17 2%
Unknown 652 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 188 26%
Student > Ph. D. Student 177 24%
Student > Master 87 12%
Student > Bachelor 63 9%
Student > Postgraduate 35 5%
Other 116 16%
Unknown 58 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 375 52%
Biochemistry, Genetics and Molecular Biology 179 25%
Medicine and Dentistry 33 5%
Computer Science 30 4%
Neuroscience 12 2%
Other 24 3%
Unknown 71 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 58. 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 26 October 2021.
All research outputs
#553,659
of 21,181,573 outputs
Outputs from Genome Biology (Online Edition)
#428
of 4,010 outputs
Outputs of similar age
#2,805
of 148,175 outputs
Outputs of similar age from Genome Biology (Online Edition)
#1
of 7 outputs
Altmetric has tracked 21,181,573 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,010 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.1. This one has done well, scoring higher than 89% 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 148,175 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 98% of its contemporaries.
We're also able to compare this research output to 7 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