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Identification and analysis of unitary pseudogenes: historic and contemporary gene losses in humans and other primates

Overview of attention for article published in Genome Biology, March 2010
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

twitter
2 X users
patent
1 patent
wikipedia
8 Wikipedia pages
video
1 YouTube creator

Citations

dimensions_citation
149 Dimensions

Readers on

mendeley
179 Mendeley
citeulike
12 CiteULike
connotea
1 Connotea
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Title
Identification and analysis of unitary pseudogenes: historic and contemporary gene losses in humans and other primates
Published in
Genome Biology, March 2010
DOI 10.1186/gb-2010-11-3-r26
Pubmed ID
Authors

Zhengdong D Zhang, Adam Frankish, Toby Hunt, Jennifer Harrow, Mark Gerstein

Abstract

Unitary pseudogenes are a class of unprocessed pseudogenes without functioning counterparts in the genome. They constitute only a small fraction of annotated pseudogenes in the human genome. However, as they represent distinct functional losses over time, they shed light on the unique features of humans in primate evolution.

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 179 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 3%
United Kingdom 2 1%
Sweden 1 <1%
Germany 1 <1%
Korea, Republic of 1 <1%
Chile 1 <1%
Unknown 168 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 40 22%
Student > Ph. D. Student 35 20%
Student > Bachelor 25 14%
Student > Master 19 11%
Professor 14 8%
Other 26 15%
Unknown 20 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 92 51%
Biochemistry, Genetics and Molecular Biology 37 21%
Medicine and Dentistry 8 4%
Computer Science 3 2%
Chemistry 3 2%
Other 10 6%
Unknown 26 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 20 April 2024.
All research outputs
#4,934,770
of 25,756,531 outputs
Outputs from Genome Biology
#2,825
of 4,512 outputs
Outputs of similar age
#20,103
of 102,993 outputs
Outputs of similar age from Genome Biology
#12
of 25 outputs
Altmetric has tracked 25,756,531 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,512 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.5. This one is in the 36th percentile – i.e., 36% of its peers scored the same or lower than it.
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 102,993 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 78% of its contemporaries.
We're also able to compare this research output to 25 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 52% of its contemporaries.