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

Overview of attention for book
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

blogs
1 blog
twitter
1 tweeter

Citations

dimensions_citation
189 Dimensions

Readers on

mendeley
228 Mendeley
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Title
An Introduction to Markov State Models and Their Application to Long Timescale Molecular Simulation
Published by
Advances in experimental medicine and biology, January 2014
DOI 10.1007/978-94-007-7606-7
ISBNs
978-9-40-077605-0, 978-9-40-077606-7
Editors

Gregory R. Bowman, Vijay S. Pande, Frank Noé

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 228 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 3%
Germany 4 2%
United Kingdom 3 1%
Japan 2 <1%
Canada 1 <1%
Russia 1 <1%
Uruguay 1 <1%
Italy 1 <1%
Poland 1 <1%
Other 0 0%
Unknown 208 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 78 34%
Researcher 48 21%
Student > Master 29 13%
Student > Bachelor 16 7%
Student > Doctoral Student 12 5%
Other 31 14%
Unknown 14 6%
Readers by discipline Count As %
Chemistry 72 32%
Physics and Astronomy 41 18%
Agricultural and Biological Sciences 31 14%
Biochemistry, Genetics and Molecular Biology 19 8%
Chemical Engineering 11 5%
Other 37 16%
Unknown 17 7%

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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
#2,651,746
of 15,700,393 outputs
Outputs from Advances in experimental medicine and biology
#388
of 3,606 outputs
Outputs of similar age
#55,255
of 268,142 outputs
Outputs of similar age from Advances in experimental medicine and biology
#3
of 26 outputs
Altmetric has tracked 15,700,393 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,606 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 89% 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 268,142 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 79% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.