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The spotted gar genome illuminates vertebrate evolution and facilitates human-teleost comparisons

Overview of attention for article published in Nature Genetics, March 2016
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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 (99th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
20 news outlets
blogs
13 blogs
twitter
159 X users
facebook
3 Facebook pages
wikipedia
2 Wikipedia pages
googleplus
1 Google+ user

Readers on

mendeley
558 Mendeley
citeulike
2 CiteULike
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Title
The spotted gar genome illuminates vertebrate evolution and facilitates human-teleost comparisons
Published in
Nature Genetics, March 2016
DOI 10.1038/ng.3526
Pubmed ID
Authors

Ingo Braasch, Andrew R Gehrke, Jeramiah J Smith, Kazuhiko Kawasaki, Tereza Manousaki, Jeremy Pasquier, Angel Amores, Thomas Desvignes, Peter Batzel, Julian Catchen, Aaron M Berlin, Michael S Campbell, Daniel Barrell, Kyle J Martin, John F Mulley, Vydianathan Ravi, Alison P Lee, Tetsuya Nakamura, Domitille Chalopin, Shaohua Fan, Dustin Wcisel, Cristian Cañestro, Jason Sydes, Felix E G Beaudry, Yi Sun, Jana Hertel, Michael J Beam, Mario Fasold, Mikio Ishiyama, Jeremy Johnson, Steffi Kehr, Marcia Lara, John H Letaw, Gary W Litman, Ronda T Litman, Masato Mikami, Tatsuya Ota, Nil Ratan Saha, Louise Williams, Peter F Stadler, Han Wang, John S Taylor, Quenton Fontenot, Allyse Ferrara, Stephen M J Searle, Bronwen Aken, Mark Yandell, Igor Schneider, Jeffrey A Yoder, Jean-Nicolas Volff, Axel Meyer, Chris T Amemiya, Byrappa Venkatesh, Peter W H Holland, Yann Guiguen, Julien Bobe, Neil H Shubin, Federica Di Palma, Jessica Alföldi, Kerstin Lindblad-Toh, John H Postlethwait

Abstract

To connect human biology to fish biomedical models, we sequenced the genome of spotted gar (Lepisosteus oculatus), whose lineage diverged from teleosts before teleost genome duplication (TGD). The slowly evolving gar genome has conserved in content and size many entire chromosomes from bony vertebrate ancestors. Gar bridges teleosts to tetrapods by illuminating the evolution of immunity, mineralization and development (mediated, for example, by Hox, ParaHox and microRNA genes). Numerous conserved noncoding elements (CNEs; often cis regulatory) undetectable in direct human-teleost comparisons become apparent using gar: functional studies uncovered conserved roles for such cryptic CNEs, facilitating annotation of sequences identified in human genome-wide association studies. Transcriptomic analyses showed that the sums of expression domains and expression levels for duplicated teleost genes often approximate the patterns and levels of expression for gar genes, consistent with subfunctionalization. The gar genome provides a resource for understanding evolution after genome duplication, the origin of vertebrate genomes and the function of human regulatory sequences.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 159 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 558 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 5 <1%
United States 4 <1%
Korea, Republic of 1 <1%
Sweden 1 <1%
Israel 1 <1%
Germany 1 <1%
Finland 1 <1%
Norway 1 <1%
Japan 1 <1%
Other 1 <1%
Unknown 541 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 127 23%
Researcher 116 21%
Student > Master 63 11%
Student > Bachelor 53 9%
Student > Doctoral Student 27 5%
Other 88 16%
Unknown 84 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 223 40%
Biochemistry, Genetics and Molecular Biology 166 30%
Environmental Science 13 2%
Neuroscience 11 2%
Earth and Planetary Sciences 6 1%
Other 33 6%
Unknown 106 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 316. 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 12 July 2024.
All research outputs
#115,579
of 26,705,860 outputs
Outputs from Nature Genetics
#167
of 7,799 outputs
Outputs of similar age
#1,928
of 315,200 outputs
Outputs of similar age from Nature Genetics
#5
of 64 outputs
Altmetric has tracked 26,705,860 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,799 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 44.8. This one has done particularly well, scoring higher than 97% 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 315,200 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 99% of its contemporaries.
We're also able to compare this research output to 64 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 92% of its contemporaries.