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Calibration of Multiple In Silico Tools for Predicting Pathogenicity of Mismatch Repair Gene Missense Substitutions

Overview of attention for article published in Human Mutation, October 2012
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Mentioned by

twitter
6 X users

Citations

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79 Dimensions

Readers on

mendeley
112 Mendeley
citeulike
1 CiteULike
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Title
Calibration of Multiple In Silico Tools for Predicting Pathogenicity of Mismatch Repair Gene Missense Substitutions
Published in
Human Mutation, October 2012
DOI 10.1002/humu.22214
Pubmed ID
Authors

Bryony A. Thompson, Marc S. Greenblatt, Maxime P. Vallee, Johanna C. Herkert, Chloe Tessereau, Erin L. Young, Ivan A. Adzhubey, Biao Li, Russell Bell, Bingjian Feng, Sean D. Mooney, Predrag Radivojac, Shamil R. Sunyaev, Thierry Frebourg, Robert M.W. Hofstra, Rolf H. Sijmons, Ken Boucher, Alun Thomas, David E. Goldgar, Amanda B. Spurdle, Sean V. Tavtigian

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 5%
Netherlands 2 2%
Denmark 1 <1%
Spain 1 <1%
Poland 1 <1%
Unknown 101 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 30 27%
Student > Ph. D. Student 23 21%
Student > Master 14 13%
Student > Bachelor 11 10%
Other 8 7%
Other 15 13%
Unknown 11 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 40 36%
Biochemistry, Genetics and Molecular Biology 23 21%
Medicine and Dentistry 22 20%
Engineering 3 3%
Computer Science 2 2%
Other 9 8%
Unknown 13 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 June 2020.
All research outputs
#8,882,501
of 25,837,817 outputs
Outputs from Human Mutation
#1,118
of 3,048 outputs
Outputs of similar age
#68,897
of 205,042 outputs
Outputs of similar age from Human Mutation
#11
of 28 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,048 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 30th percentile – i.e., 30% 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 205,042 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.