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Frequent mutation of histone-modifying genes in non-Hodgkin lymphoma

Overview of attention for article published in Nature, July 2011
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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 (97th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Readers on

564 Mendeley
12 CiteULike
1 Connotea
Frequent mutation of histone-modifying genes in non-Hodgkin lymphoma
Published in
Nature, July 2011
DOI 10.1038/nature10351
Pubmed ID

Ryan D. Morin, Maria Mendez-Lago, Andrew J. Mungall, Rodrigo Goya, Karen L. Mungall, Richard D. Corbett, Nathalie A. Johnson, Tesa M. Severson, Readman Chiu, Matthew Field, Shaun Jackman, Martin Krzywinski, David W. Scott, Diane L. Trinh, Jessica Tamura-Wells, Sa Li, Marlo R. Firme, Sanja Rogic, Malachi Griffith, Susanna Chan, Oleksandr Yakovenko, Irmtraud M. Meyer, Eric Y. Zhao, Duane Smailus, Michelle Moksa, Suganthi Chittaranjan, Lisa Rimsza, Angela Brooks-Wilson, John J. Spinelli, Susana Ben-Neriah, Barbara Meissner, Bruce Woolcock, Merrill Boyle, Helen McDonald, Angela Tam, Yongjun Zhao, Allen Delaney, Thomas Zeng, Kane Tse, Yaron Butterfield, Inanç Birol, Rob Holt, Jacqueline Schein, Douglas E. Horsman, Richard Moore, Steven J. M. Jones, Joseph M. Connors, Martin Hirst, Randy D. Gascoyne, Marco A. Marra, Morin RD, Mendez-Lago M, Mungall AJ, Goya R, Mungall KL, Corbett RD, Johnson NA, Severson TM, Chiu R, Field M, Jackman S, Krzywinski M, Scott DW, Trinh DL, Tamura-Wells J, Li S, Firme MR, Rogic S, Griffith M, Chan S, Yakovenko O, Meyer IM, Zhao EY, Smailus D, Moksa M, Chittaranjan S, Rimsza L, Brooks-Wilson A, Spinelli JJ, Ben-Neriah S, Meissner B, Woolcock B, Boyle M, McDonald H, Tam A, Zhao Y, Delaney A, Zeng T, Tse K, Butterfield Y, Birol I, Holt R, Schein J, Horsman DE, Moore R, Jones SJ, Connors JM, Hirst M, Gascoyne RD, Marra MA


Follicular lymphoma (FL) and diffuse large B-cell lymphoma (DLBCL) are the two most common non-Hodgkin lymphomas (NHLs). Here we sequenced tumour and matched normal DNA from 13 DLBCL cases and one FL case to identify genes with mutations in B-cell NHL. We analysed RNA-seq data from these and another 113 NHLs to identify genes with candidate mutations, and then re-sequenced tumour and matched normal DNA from these cases to confirm 109 genes with multiple somatic mutations. Genes with roles in histone modification were frequent targets of somatic mutation. For example, 32% of DLBCL and 89% of FL cases had somatic mutations in MLL2, which encodes a histone methyltransferase, and 11.4% and 13.4% of DLBCL and FL cases, respectively, had mutations in MEF2B, a calcium-regulated gene that cooperates with CREBBP and EP300 in acetylating histones. Our analysis suggests a previously unappreciated disruption of chromatin biology in lymphomagenesis.

Twitter Demographics

The data shown below were collected from the profiles of 24 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 564 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 12 2%
United Kingdom 9 2%
Germany 8 1%
Canada 5 <1%
Netherlands 4 <1%
Denmark 3 <1%
China 3 <1%
France 2 <1%
Italy 2 <1%
Other 8 1%
Unknown 508 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 160 28%
Student > Ph. D. Student 146 26%
Student > Master 54 10%
Professor > Associate Professor 39 7%
Student > Bachelor 34 6%
Other 131 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 287 51%
Medicine and Dentistry 144 26%
Biochemistry, Genetics and Molecular Biology 78 14%
Unspecified 15 3%
Computer Science 9 2%
Other 31 5%

Attention Score in Context

This research output has an Altmetric Attention Score of 41. 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 10 February 2017.
All research outputs
of 10,437,279 outputs
Outputs from Nature
of 56,231 outputs
Outputs of similar age
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Outputs of similar age from Nature
of 885 outputs
Altmetric has tracked 10,437,279 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 56,231 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 72.4. This one has gotten more attention than average, scoring higher than 72% 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 82,420 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 97% of its contemporaries.
We're also able to compare this research output to 885 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.