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Development of synchronous VHL syndrome tumors reveals contingencies and constraints to tumor evolution

Overview of attention for article published in Genome Biology, August 2014
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1 X user

Citations

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Title
Development of synchronous VHL syndrome tumors reveals contingencies and constraints to tumor evolution
Published in
Genome Biology, August 2014
DOI 10.1186/s13059-014-0433-z
Pubmed ID
Authors

Rosalie Fisher, Stuart Horswell, Andrew Rowan, Maximilian P Salm, Elza C de Bruin, Sakshi Gulati, Nicholas McGranahan, Mark Stares, Marco Gerlinger, Ignacio Varela, Andrew Crockford, Francesco Favero, Virginie Quidville, Fabrice André, Carolina Navas, Eva Grönroos, David Nicol, Steve Hazell, David Hrouda, Tim O’Brien, Nik Matthews, Ben Phillimore, Sharmin Begum, Adam Rabinowitz, Jennifer Biggs, Paul A Bates, Neil Q McDonald, Gordon Stamp, Bradley Spencer-Dene, James J Hsieh, Jianing Xu, Lisa Pickering, Martin Gore, James Larkin, Charles Swanton

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X Demographics

The data shown below were collected from the profile of 1 X user 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 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 1%
Unknown 67 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 24%
Student > Ph. D. Student 10 15%
Student > Bachelor 8 12%
Other 4 6%
Student > Postgraduate 4 6%
Other 13 19%
Unknown 13 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 22%
Biochemistry, Genetics and Molecular Biology 13 19%
Medicine and Dentistry 12 18%
Computer Science 4 6%
Immunology and Microbiology 3 4%
Other 5 7%
Unknown 16 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 May 2017.
All research outputs
#20,656,161
of 25,374,647 outputs
Outputs from Genome Biology
#4,269
of 4,467 outputs
Outputs of similar age
#180,692
of 247,199 outputs
Outputs of similar age from Genome Biology
#96
of 100 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 247,199 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 100 others from the same source and published within six weeks on either side of this one. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.