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Erratum: A renewed model of pancreatic cancer evolution based on genomic rearrangement patterns

Overview of attention for article published in Nature, November 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)

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Title
Erratum: A renewed model of pancreatic cancer evolution based on genomic rearrangement patterns
Published in
Nature, November 2016
DOI 10.1038/nature20164
Pubmed ID
Authors

Faiyaz Notta, Michelle Chan-Seng-Yue, Mathieu Lemire, Yilong Li, Gavin W. Wilson, Ashton A. Connor, Robert E. Denroche, Sheng-Ben Liang, Andrew M. K. Brown, Jaeseung C. Kim, Tao Wang, Jared T. Simpson, Timothy Beck, Ayelet Borgida, Nicholas Buchner, Dianne Chadwick, Sara Hafezi-Bakhtiari, John E. Dick, Lawrence Heisler, Michael A. Hollingsworth, Emin Ibrahimov, Gun Ho Jang, Jeremy Johns, Lars G. T. Jorgensen, Calvin Law, Olga Ludkovski, Ilinca Lungu, Karen Ng, Danielle Pasternack, Gloria M. Petersen, Liran I. Shlush, Lee Timms, Ming-Sound Tsao, Julie M. Wilson, Christina K. Yung, George Zogopoulos, John M. S. Bartlett, Ludmil B. Alexandrov, Francisco X. Real, Sean P. Cleary, Michael H. Roehrl, John D. McPherson, Lincoln D. Stein, Thomas J. Hudson, Peter J. Campbell, Steven Gallinger

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Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 02 February 2017.
All research outputs
#1,777,909
of 22,901,818 outputs
Outputs from Nature
#39,270
of 91,103 outputs
Outputs of similar age
#30,221
of 270,398 outputs
Outputs of similar age from Nature
#700
of 939 outputs
Altmetric has tracked 22,901,818 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 91,103 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 99.4. This one has gotten more attention than average, scoring higher than 56% 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 270,398 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 88% of its contemporaries.
We're also able to compare this research output to 939 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.