↓ Skip to main content

Application of a 5-tiered scheme for standardized classification of 2,360 unique mismatch repair gene variants in the InSiGHT locus-specific database

Overview of attention for article published in Nature Genetics, December 2013
Altmetric Badge

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)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

news
8 news outlets
blogs
3 blogs
twitter
32 X users
patent
2 patents
facebook
1 Facebook page
googleplus
1 Google+ user

Citations

dimensions_citation
405 Dimensions

Readers on

mendeley
291 Mendeley
citeulike
6 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Application of a 5-tiered scheme for standardized classification of 2,360 unique mismatch repair gene variants in the InSiGHT locus-specific database
Published in
Nature Genetics, December 2013
DOI 10.1038/ng.2854
Pubmed ID
Authors

Adela Castillejo, Adrienne Sexton, Anthony K W Chan, Alessandra Viel, Amie Blanco, Amy French, Andreas Laner, Anja Wagner, Ans van den Ouweland, Arjen Mensenkamp, Artemio Payá, Beate Betz, Bert Redeker, Betsy Smith, Carin Espenschied, Carole Cummings, Christoph Engel, Claudia Fornes, Cristian Valenzuela, Cristina Alenda, Daniel Buchanan, Daniela Barana, Darina Konstantinova, Dianne Cairns, Elizabeth Glaser, Felipe Silva, Fiona Lalloo, Francesca Crucianelli, Frans Hogervorst, Graham Casey, Ian Tomlinson, Ignacio Blanco, Isabel López Villar, Javier Garcia-Planells, Jeanette Bigler, Jinru Shia, Joaquin Martinez-Lopez, Johan J P Gille, John Hopper, John Potter, José Luis Soto, Jukka Kantelinen, Kate Ellis, Kirsty Mann, Liliana Varesco, Liying Zhang, Loic Le Marchand, Makia J Marafie, Margareta Nordling, Maria Grazia Tibiletti, Mariano Ariel Kahan, Marjolijn Ligtenberg, Mark Clendenning, Mark Jenkins, Marsha Speevak, Martin Digweed, Matthias Kloor, Megan Hitchins, Megan Myers, Melyssa Aronson, Mev Dominguez Valentin, Michael Kutsche, Michael Parsons, Michael Walsh, Minttu Kansikas, Mohd Nizam Zahary, Monica Pedroni, Nao Heider, Nicola Poplawski, Nils Rahner, Noralane M Lindor, Paola Sala, Peng Nan, Peter Propping, Polly Newcomb, Rajiv Sarin, Robert Haile, Robert Hofstra, Robyn Ward, Rossella Tricarico, Ruben Bacares, Sean Young, Sergio Chialina, Serguei Kovalenko, Shanaka R Gunawardena, Sira Moreno, Siu Lun Ho, Siu Tsan Yuen, Stephen N Thibodeau, Steve Gallinger, Terrilea Burnett, Therese Teitsch, Tsun Leung Chan, Tom Smyrk, Treena Cranston, Vasiliki Psofaki, Verena Steinke-Lange, Victor-Manuel Barbera

X Demographics

X Demographics

The data shown below were collected from the profiles of 32 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 291 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 2%
United Kingdom 4 1%
Spain 2 <1%
Netherlands 1 <1%
India 1 <1%
Australia 1 <1%
Switzerland 1 <1%
Finland 1 <1%
Unknown 273 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 59 20%
Student > Ph. D. Student 55 19%
Student > Master 30 10%
Other 27 9%
Student > Bachelor 18 6%
Other 55 19%
Unknown 47 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 82 28%
Biochemistry, Genetics and Molecular Biology 68 23%
Medicine and Dentistry 56 19%
Computer Science 11 4%
Immunology and Microbiology 3 1%
Other 14 5%
Unknown 57 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 96. 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 24 June 2020.
All research outputs
#446,875
of 25,837,817 outputs
Outputs from Nature Genetics
#898
of 7,639 outputs
Outputs of similar age
#4,214
of 325,080 outputs
Outputs of similar age from Nature Genetics
#8
of 59 outputs
Altmetric has tracked 25,837,817 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 7,639 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.7. This one has done well, scoring higher than 88% 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 325,080 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 59 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.