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The GENCODE pseudogene resource

Overview of attention for article published in Genome Biology, September 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 (96th percentile)

Mentioned by

blogs
5 blogs
twitter
13 X users
patent
3 patents
facebook
1 Facebook page
wikipedia
10 Wikipedia pages
q&a
1 Q&A thread
video
1 YouTube creator

Citations

dimensions_citation
275 Dimensions

Readers on

mendeley
741 Mendeley
citeulike
10 CiteULike
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Title
The GENCODE pseudogene resource
Published in
Genome Biology, September 2012
DOI 10.1186/gb-2012-13-9-r51
Pubmed ID
Authors

Baikang Pei, Cristina Sisu, Adam Frankish, Cédric Howald, Lukas Habegger, Xinmeng Jasmine 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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 741 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%
Australia 3 <1%
Italy 2 <1%
Portugal 2 <1%
New Zealand 2 <1%
Other 16 2%
Unknown 671 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 191 26%
Student > Ph. D. Student 180 24%
Student > Master 86 12%
Student > Bachelor 64 9%
Student > Postgraduate 34 5%
Other 120 16%
Unknown 66 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 377 51%
Biochemistry, Genetics and Molecular Biology 182 25%
Medicine and Dentistry 32 4%
Computer Science 29 4%
Neuroscience 12 2%
Other 28 4%
Unknown 81 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 61. 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 27 January 2023.
All research outputs
#693,843
of 25,374,917 outputs
Outputs from Genome Biology
#446
of 4,467 outputs
Outputs of similar age
#3,670
of 187,001 outputs
Outputs of similar age from Genome Biology
#2
of 56 outputs
Altmetric has tracked 25,374,917 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 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done particularly well, scoring higher than 90% 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 187,001 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 56 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 96% of its contemporaries.