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GenomegaMap: Within-Species Genome-Wide dN/dS Estimation from over 10,000 Genomes

Overview of attention for article published in Molecular Biology and Evolution, March 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

blogs
1 blog
policy
1 policy source
twitter
12 X users

Readers on

mendeley
118 Mendeley
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Article details
Title
GenomegaMap: Within-Species Genome-Wide dN/dS Estimation from over 10,000 Genomes
Published in
Molecular Biology and Evolution, March 2020
DOI 10.1093/molbev/msaa069
Pubmed ID
Authors

Daniel J Wilson, Derrick W Crook, Timothy E A Peto, A Sarah Walker, Sarah J Hoosdally, Ana L Gibertoni Cruz, Joshua Carter, Clara Grazian, Sarah G Earle, Samaneh Kouchaki, Alexander Lachapelle, Yang Yang, David A Clifton, Philip W Fowler, Zamin Iqbal, Martin Hunt, Jeffrey Knaggs, E Grace Smith, Priti Rathod, Lisa Jarrett, Daniela Matias, Daniela M Cirillo, Emanuele Borroni, Simone Battaglia, Arash Ghodousi, Andrea Spitaleri, Andrea Cabibbe, Sabira Tahseen, Kayzad Nilgiriwala, Sanchi Shah, Camilla Rodrigues, Priti Kambli, Utkarsha Surve, Rukhsar Khot, Stefan Niemann, Thomas A Kohl, Matthias Merker, Harald Hoffmann, Katharina Todt, Sara Plesnik, Nazir Ismail, Shaheed Vally Omar, Lavania Joseph, Guy Thwaites, Thuong Nguyen Thuy Thuong, Nhung Hoang Ngoc, Vijay Srinivasan, Timothy M Walker, David Moore, Jorge Coronel, Walter Solano, George F Gao, Guangxue He, Yanlin Zhao, Chunfa Liu, Aijing Ma, Baoli Zhu, Ian Laurenson, Pauline Claxton, Anastasia Koch, Robert Wilkinson, Ajit Lalvani, James Posey, Jennifer Gardy, Jim Werngren, Nicholas Paton, Ruwen Jou, Mei-Hua Wu, Wan-Hsuan Lin, Lucilaine Ferrazoli, Rosangela Siqueira de Oliveira, Irena Arandjelovic, Angkana Chaiprasert, Iñaki Comas, Calle Jaime Roig, Francis A Drobniewski, Maha R Farhat, Qian Gao, Rick Ong Twee Hee, Vitali Sintchenko, Philip Supply, Dick van Soolingen

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Timeline Attention over time Attention Score history
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X Demographics

X Demographics

The data shown below were collected from the profiles of 12 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 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 118 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 22 19%
Researcher 21 18%
Student > Bachelor 7 6%
Student > Postgraduate 7 6%
Other 6 5%
Other 19 16%
Unknown 36 31%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 27 23%
Agricultural and Biological Sciences 25 21%
Medicine and Dentistry 7 6%
Immunology and Microbiology 4 3%
Computer Science 3 3%
Other 11 9%
Unknown 41 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 31 October 2025.
All research outputs
#2,788,998
of 33,779,198 outputs
Outputs from Molecular Biology and Evolution
#1,259
of 6,191 outputs
Outputs of similar age
#51,690
of 417,650 outputs
Outputs of similar age from Molecular Biology and Evolution
#13
of 82 outputs
Altmetric has tracked 33,779,198 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,191 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.9. This one has done well, scoring higher than 79% 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 417,650 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 87% of its contemporaries.
We're also able to compare this research output to 82 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.