↓ Skip to main content

Comparative genomics reveals insights into avian genome evolution and adaptation

Overview of attention for article published in Science, December 2014
Altmetric Badge

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 (93rd percentile)

Mentioned by

news
16 news outlets
blogs
14 blogs
twitter
87 X users
facebook
4 Facebook pages
wikipedia
3 Wikipedia pages
googleplus
5 Google+ users
reddit
1 Redditor

Citations

dimensions_citation
890 Dimensions

Readers on

mendeley
1125 Mendeley
citeulike
2 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Comparative genomics reveals insights into avian genome evolution and adaptation
Published in
Science, December 2014
DOI 10.1126/science.1251385
Pubmed ID
Authors

Guojie Zhang, Cai Li, Qiye Li, Bo Li, Denis M. Larkin, Chul Lee, Jay F. Storz, Agostinho Antunes, Matthew J. Greenwold, Robert W. Meredith, Anders Ödeen, Jie Cui, Qi Zhou, Luohao Xu, Hailin Pan, Zongji Wang, Lijun Jin, Pei Zhang, Haofu Hu, Wei Yang, Jiang Hu, Jin Xiao, Zhikai Yang, Yang Liu, Qiaolin Xie, Hao Yu, Jinmin Lian, Ping Wen, Fang Zhang, Hui Li, Yongli Zeng, Zijun Xiong, Shiping Liu, Long Zhou, Zhiyong Huang, Na An, Jie Wang, Qiumei Zheng, Yingqi Xiong, Guangbiao Wang, Bo Wang, Jingjing Wang, Yu Fan, Rute R. da Fonseca, Alonzo Alfaro-Núñez, Mikkel Schubert, Ludovic Orlando, Tobias Mourier, Jason T. Howard, Ganeshkumar Ganapathy, Andreas Pfenning, Osceola Whitney, Miriam V. Rivas, Erina Hara, Julia Smith, Marta Farré, Jitendra Narayan, Gancho Slavov, Michael N Romanov, Rui Borges, João Paulo Machado, Imran Khan, Mark S. Springer, John Gatesy, Federico G. Hoffmann, Juan C. Opazo, Olle Håstad, Roger H. Sawyer, Heebal Kim, Kyu-Won Kim, Hyeon Jeong Kim, Seoae Cho, Ning Li, Yinhua Huang, Michael W. Bruford, Xiangjiang Zhan, Andrew Dixon, Mads F. Bertelsen, Elizabeth Derryberry, Wesley Warren, Richard K Wilson, Shengbin Li, David A. Ray, Richard E. Green, Stephen J. O’Brien, Darren Griffin, Warren E. Johnson, David Haussler, Oliver A. Ryder, Eske Willerslev, Gary R. Graves, Per Alström, Jon Fjeldså, David P. Mindell, Scott V. Edwards, Edward L. Braun, Carsten Rahbek, David W. Burt, Peter Houde, Yong Zhang, Huanming Yang, Jian Wang, Avian Genome Consortium, Erich D. Jarvis, M. Thomas P. Gilbert, Jun Wang, Chen Ye, Shaoguang Liang, Zengli Yan, M. Lisandra Zepeda, Paula F. Campos, Amhed Missael Vargas Velazquez, José Alfredo Samaniego, María Avila-Arcos, Michael D. Martin, Ross Barnett, Angela M. Ribeiro, Claudio V. Mello, Peter V. Lovell, Daniela Almeida, Emanuel Maldonado, Joana Pereira, Kartik Sunagar, Siby Philip, Maria Gloria Dominguez-Bello, Michael Bunce, David Lambert, Robb T. Brumfield, Frederick H. Sheldon, Edward C. Holmes, Paul P. Gardner, Tammy E. Steeves, Peter F. Stadler, Sarah W. Burge, Eric Lyons, Jacqueline Smith, Fiona McCarthy, Frederique Pitel, Douglas Rhoads, David P. Froman

Abstract

Birds are the most species-rich class of tetrapod vertebrates and have wide relevance across many research fields. We explored bird macroevolution using full genomes from 48 avian species representing all major extant clades. The avian genome is principally characterized by its constrained size, which predominantly arose because of lineage-specific erosion of repetitive elements, large segmental deletions, and gene loss. Avian genomes furthermore show a remarkably high degree of evolutionary stasis at the levels of nucleotide sequence, gene synteny, and chromosomal structure. Despite this pattern of conservation, we detected many non-neutral evolutionary changes in protein-coding genes and noncoding regions. These analyses reveal that pan-avian genomic diversity covaries with adaptations to different lifestyles and convergent evolution of traits.

X Demographics

X Demographics

The data shown below were collected from the profiles of 87 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 1,125 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 22 2%
Germany 8 <1%
United Kingdom 5 <1%
Brazil 3 <1%
Denmark 3 <1%
China 3 <1%
France 2 <1%
Uruguay 2 <1%
Australia 2 <1%
Other 19 2%
Unknown 1056 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 283 25%
Researcher 198 18%
Student > Master 145 13%
Student > Bachelor 112 10%
Student > Doctoral Student 51 5%
Other 185 16%
Unknown 151 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 552 49%
Biochemistry, Genetics and Molecular Biology 223 20%
Environmental Science 33 3%
Computer Science 21 2%
Medicine and Dentistry 17 2%
Other 95 8%
Unknown 184 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 262. 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 23 February 2024.
All research outputs
#140,212
of 25,584,565 outputs
Outputs from Science
#4,347
of 83,124 outputs
Outputs of similar age
#1,390
of 369,342 outputs
Outputs of similar age from Science
#56
of 888 outputs
Altmetric has tracked 25,584,565 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 83,124 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 65.8. This one has done particularly well, scoring higher than 94% 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 369,342 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 888 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 93% of its contemporaries.