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An Introduction to Markov State Models and Their Application to Long Timescale Molecular Simulation

Overview of attention for book
Attention for Chapter 8: Understanding Protein Folding Using Markov State Models
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
191 Dimensions

Readers on

mendeley
12 Mendeley
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Chapter title
Understanding Protein Folding Using Markov State Models
Chapter number 8
Book title
An Introduction to Markov State Models and Their Application to Long Timescale Molecular Simulation
Published in
Advances in experimental medicine and biology, January 2014
DOI 10.1007/978-94-007-7606-7_8
Pubmed ID
Book ISBNs
978-9-40-077605-0, 978-9-40-077606-7
Authors

Vijay S. Pande

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 8%
Unknown 11 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 25%
Student > Postgraduate 2 17%
Researcher 2 17%
Student > Master 2 17%
Professor > Associate Professor 1 8%
Other 1 8%
Unknown 1 8%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 25%
Chemistry 3 25%
Agricultural and Biological Sciences 3 25%
Physics and Astronomy 2 17%
Unknown 1 8%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 22 July 2020.
All research outputs
#3,969,561
of 16,059,375 outputs
Outputs from Advances in experimental medicine and biology
#535
of 3,681 outputs
Outputs of similar age
#83,806
of 280,741 outputs
Outputs of similar age from Advances in experimental medicine and biology
#1
of 1 outputs
Altmetric has tracked 16,059,375 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 3,681 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has done well, scoring higher than 85% 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 280,741 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them