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Transcribed enhancers lead waves of coordinated transcription in transitioning mammalian cells

Overview of attention for article published in Science, February 2015
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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 (98th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

news
4 news outlets
blogs
4 blogs
twitter
92 X users
weibo
4 weibo users
facebook
7 Facebook pages
wikipedia
4 Wikipedia pages

Citations

dimensions_citation
518 Dimensions

Readers on

mendeley
890 Mendeley
citeulike
13 CiteULike
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Title
Transcribed enhancers lead waves of coordinated transcription in transitioning mammalian cells
Published in
Science, February 2015
DOI 10.1126/science.1259418
Pubmed ID
Authors

Erik Arner, Carsten O. Daub, Kristoffer Vitting-Seerup, Robin Andersson, Berit Lilje, Finn Drabløs, Andreas Lennartsson, Michelle Rönnerblad, Olga Hrydziuszko, Morana Vitezic, Tom C. Freeman, Ahmad M. N. Alhendi, Peter Arner, Richard Axton, J. Kenneth Baillie, Anthony Beckhouse, Beatrice Bodega, James Briggs, Frank Brombacher, Margaret Davis, Michael Detmar, Anna Ehrlund, Mitsuhiro Endoh, Afsaneh Eslami, Michela Fagiolini, Lynsey Fairbairn, Geoffrey J. Faulkner, Carmelo Ferrai, Malcolm E. Fisher, Lesley Forrester, Daniel Goldowitz, Reto Guler, Thomas Ha, Mitsuko Hara, Meenhard Herlyn, Tomokatsu Ikawa, Chieko Kai, Hiroshi Kawamoto, Levon M. Khachigian, S. Peter Klinken, Soichi Kojima, Haruhiko Koseki, Sarah Klein, Niklas Mejhert, Ken Miyaguchi, Yosuke Mizuno, Mitsuru Morimoto, Kelly J. Morris, Christine Mummery, Yutaka Nakachi, Soichi Ogishima, Mariko Okada-Hatakeyama, Yasushi Okazaki, Valerio Orlando, Dmitry Ovchinnikov, Robert Passier, Margaret Patrikakis, Ana Pombo, Xian-Yang Qin, Sugata Roy, Hiroki Sato, Suzana Savvi, Alka Saxena, Anita Schwegmann, Daisuke Sugiyama, Rolf Swoboda, Hiroshi Tanaka, Andru Tomoiu, Louise N. Winteringham, Ernst Wolvetang, Chiyo Yanagi-Mizuochi, Misako Yoneda, Susan Zabierowski, Peter Zhang, Imad Abugessaisa, Nicolas Bertin, Alexander D. Diehl, Shiro Fukuda, Masaaki Furuno, Jayson Harshbarger, Akira Hasegawa, Fumi Hori, Sachi Ishikawa-Kato, Yuri Ishizu, Masayoshi Itoh, Tsugumi Kawashima, Miki Kojima, Naoto Kondo, Marina Lizio, Terrence F. Meehan, Christopher J. Mungall, Mitsuyoshi Murata, Hiromi Nishiyori-Sueki, Serkan Sahin, Sayaka Nagao-Sato, Jessica Severin, Michiel J. L. de Hoon, Jun Kawai, Takeya Kasukawa, Timo Lassmann, Harukazu Suzuki, Hideya Kawaji, Kim M. Summers, Christine Wells, FANTOM Consortium, David A. Hume, Alistair R. R. Forrest, Albin Sandelin, Piero Carninci, Yoshihide Hayashizaki

Abstract

While it is generally accepted that cellular differentiation requires changes to transcriptional networks, dynamic regulation of promoters and enhancers at specific sets of genes has not been previously studied en masse. Exploiting the fact that active promoters and enhancers are transcribed, we simultaneously measured their activity in 19 human and 14 mouse time courses covering a wide range of cell types and biological stimuli. Enhancer RNAs, then mRNAs encoding transcription factors dominated the earliest responses. Binding sites for key lineage transcription factors were simultaneously over-represented in enhancers and promoters active in each cellular system. Our data support a highly generalizable model in which enhancer transcription is the earliest event in successive waves of transcriptional change during cellular differentiation or activation.

X Demographics

X Demographics

The data shown below were collected from the profiles of 92 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 890 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 17 2%
United Kingdom 6 <1%
China 5 <1%
Japan 5 <1%
France 4 <1%
Denmark 4 <1%
Netherlands 3 <1%
Sweden 2 <1%
Norway 2 <1%
Other 12 1%
Unknown 830 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 258 29%
Researcher 221 25%
Student > Master 77 9%
Student > Bachelor 66 7%
Professor > Associate Professor 38 4%
Other 135 15%
Unknown 95 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 395 44%
Biochemistry, Genetics and Molecular Biology 255 29%
Medicine and Dentistry 40 4%
Computer Science 20 2%
Neuroscience 19 2%
Other 54 6%
Unknown 107 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 109. 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 30 June 2022.
All research outputs
#393,657
of 25,791,949 outputs
Outputs from Science
#10,036
of 83,344 outputs
Outputs of similar age
#4,876
of 369,627 outputs
Outputs of similar age from Science
#273
of 1,312 outputs
Altmetric has tracked 25,791,949 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 83,344 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 66.0. This one has done well, scoring higher than 87% 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 369,627 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 98% of its contemporaries.
We're also able to compare this research output to 1,312 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.