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DNA methylation networks underlying mammalian traits

Overview of attention for article published in Science, August 2023
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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 (88th percentile)

Mentioned by

news
36 news outlets
blogs
5 blogs
twitter
332 X users
facebook
5 Facebook pages
wikipedia
8 Wikipedia pages
reddit
3 Redditors

Readers on

mendeley
211 Mendeley
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Article details
Title
DNA methylation networks underlying mammalian traits
Published in
Science, August 2023
DOI 10.1126/science.abq5693
Pubmed ID
Authors

Amin Haghani, Caesar Z Li, Todd R Robeck, Joshua Zhang, Ake T Lu, Julia Ablaeva, Victoria A Acosta-Rodríguez, Danielle M Adams, Abdulaziz N Alagaili, Javier Almunia, Ajoy Aloysius, Nabil M S Amor, Reza Ardehali, Adriana Arneson, C Scott Baker, Gareth Banks, Katherine Belov, Nigel C Bennett, Peter Black, Daniel T Blumstein, Eleanor K Bors, Charles E Breeze, Robert T Brooke, Janine L Brown, Gerald Carter, Alex Caulton, Julie M Cavin, Lisa Chakrabarti, Ioulia Chatzistamou, Andreas S Chavez, Hao Chen, Kaiyang Cheng, Priscila Chiavellini, Oi-Wa Choi, Shannon Clarke, Joseph A Cook, Lisa N Cooper, Marie-Laurence Cossette, Joanna Day, Joseph DeYoung, Stacy Dirocco, Christopher Dold, Jonathan L Dunnum, Erin E Ehmke, Candice K Emmons, Stephan Emmrich, Ebru Erbay, Claire Erlacher-Reid, Chris G Faulkes, Zhe Fei, Steven H Ferguson, Carrie J Finno, Jennifer E Flower, Jean-Michel Gaillard, Eva Garde, Livia Gerber, Vadim N Gladyshev, Rodolfo G Goya, Matthew J Grant, Carla B Green, M Bradley Hanson, Daniel W Hart, Martin Haulena, Kelsey Herrick, Andrew N Hogan, Carolyn J Hogg, Timothy A Hore, Taosheng Huang, Juan Carlos Izpisua Belmonte, Anna J Jasinska, Gareth Jones, Eve Jourdain, Olga Kashpur, Harold Katcher, Etsuko Katsumata, Vimala Kaza, Hippokratis Kiaris, Michael S Kobor, Pawel Kordowitzki, William R Koski, Michael Krützen, Soo Bin Kwon, Brenda Larison, Sang-Goo Lee, Marianne Lehmann, Jean-François Lemaître, Andrew J Levine, Xinmin Li, Cun Li, Andrea R Lim, David T S Lin, Dana M Lindemann, Schuyler W Liphardt, Thomas J Little, Nicholas Macoretta, Dewey Maddox, Craig O Matkin, Julie A Mattison, Matthew McClure, June Mergl, Jennifer J Meudt, Gisele A Montano, Khyobeni Mozhui, Jason Munshi-South, William J Murphy, Asieh Naderi, Martina Nagy, Pritika Narayan, Peter W Nathanielsz, Ngoc B Nguyen, Christof Niehrs, Batsaikhan Nyamsuren, Justine K O'Brien, Perrie O'Tierney Ginn, Duncan T Odom, Alexander G Ophir, Steve Osborn, Elaine A Ostrander, Kim M Parsons, Kimberly C Paul, Amy B Pedersen, Matteo Pellegrini, Katharina J Peters, Jessica L Petersen, Darren W Pietersen, Gabriela M Pinho, Jocelyn Plassais, Jesse R Poganik, Natalia A Prado, Pradeep Reddy, Benjamin Rey, Beate R Ritz, Jooke Robbins, Magdalena Rodriguez, Jennifer Russell, Elena Rydkina, Lindsay L Sailer, Adam B Salmon, Akshay Sanghavi, Kyle M Schachtschneider, Dennis Schmitt, Todd Schmitt, Lars Schomacher, Lawrence B Schook, Karen E Sears, Ashley W Seifert, Aaron B A Shafer, Anastasia V Shindyapina, Melanie Simmons, Kavita Singh, Ishani Sinha, Jesse Slone, Russel G Snell, Elham Soltanmohammadi, Matthew L Spangler, Maria Spriggs, Lydia Staggs, Nancy Stedman, Karen J Steinman, Donald T Stewart, Victoria J Sugrue, Balazs Szladovits, Joseph S Takahashi, Masaki Takasugi, Emma C Teeling, Michael J Thompson, Bill Van Bonn, Sonja C Vernes, Diego Villar, Harry V Vinters, Ha Vu, Mary C Wallingford, Nan Wang, Gerald S Wilkinson, Robert W Williams, Qi Yan, Mingjia Yao, Brent G Young, Bohan Zhang, Zhihui Zhang, Yang Zhao, Peng Zhao, Wanding Zhou, Joseph A Zoller, Jason Ernst, Andrei Seluanov, Vera Gorbunova, X William Yang, Ken Raj, Steve Horvath

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 332 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 211 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 211 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 38 18%
Student > Ph. D. Student 27 13%
Student > Bachelor 14 7%
Professor 13 6%
Student > Master 13 6%
Other 35 17%
Unknown 71 34%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 43 20%
Agricultural and Biological Sciences 43 20%
Medicine and Dentistry 9 4%
Neuroscience 5 2%
Computer Science 3 1%
Other 27 13%
Unknown 81 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 485. 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 25 October 2025.
All research outputs
#69,742
of 34,614,958 outputs
Outputs from Science
#2,463
of 94,218 outputs
Outputs of similar age
#1,403
of 386,764 outputs
Outputs of similar age from Science
#46
of 408 outputs
Altmetric has tracked 34,614,958 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 94,218 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 66.3. 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 386,764 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 408 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.