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An alternative approach to establishing unbiased colorectal cancer risk estimation in Lynch syndrome

Overview of attention for article published in Genetics in Medicine, June 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

twitter
23 X users
facebook
2 Facebook pages

Citations

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11 Dimensions

Readers on

mendeley
29 Mendeley
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Title
An alternative approach to establishing unbiased colorectal cancer risk estimation in Lynch syndrome
Published in
Genetics in Medicine, June 2019
DOI 10.1038/s41436-019-0577-z
Pubmed ID
Authors

Manon Suerink, Mar Rodríguez-Girondo, Heleen M. van der Klift, Chrystelle Colas, Laurence Brugieres, Noémie Lavoine, Marjolijn Jongmans, Gabriel Capellá Munar, D. Gareth Evans, Michael P. Farrell, Maurizio Genuardi, Yael Goldberg, Encarna Gomez-Garcia, Karl Heinimann, Jessica I. Hoell, Stefan Aretz, Kory W. Jasperson, Inbal Kedar, Mitul B. Modi, Sergey Nikolaev, Theo A. M. van Os, Tim Ripperger, Daniel Rueda, Leigha Senter, Wenche Sjursen, Lone Sunde, Christina Therkildsen, Maria G. Tibiletti, Alison H. Trainer, Yvonne J. Vos, Anja Wagner, Ingrid Winship, Katharina Wimmer, Stefanie Y. Zimmermann, Hans F. Vasen, Christi J. van Asperen, Jeanine J. Houwing-Duistermaat, Sanne W. ten Broeke, Maartje Nielsen

X Demographics

X Demographics

The data shown below were collected from the profiles of 23 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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 17%
Other 4 14%
Student > Doctoral Student 2 7%
Student > Master 2 7%
Student > Bachelor 1 3%
Other 4 14%
Unknown 11 38%
Readers by discipline Count As %
Medicine and Dentistry 8 28%
Biochemistry, Genetics and Molecular Biology 3 10%
Agricultural and Biological Sciences 2 7%
Veterinary Science and Veterinary Medicine 1 3%
Unspecified 1 3%
Other 1 3%
Unknown 13 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 20 February 2020.
All research outputs
#2,633,007
of 26,017,215 outputs
Outputs from Genetics in Medicine
#911
of 2,970 outputs
Outputs of similar age
#53,971
of 370,028 outputs
Outputs of similar age from Genetics in Medicine
#23
of 72 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,970 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.1. This one has gotten more attention than average, scoring higher than 69% 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 370,028 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 85% of its contemporaries.
We're also able to compare this research output to 72 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 68% of its contemporaries.