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Molecular modeling of proteins

Overview of attention for book
Cover of 'Molecular modeling of proteins'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Molecular Dynamics Simulations
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    Chapter 2 Monte Carlo Simulations
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    Chapter 3 Hybrid Quantum and Classical Methods for Computing Kinetic Isotope Effects of Chemical Reactions in Solutions and in Enzymes
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    Chapter 4 Comparison of Protein Force Fields for Molecular Dynamics Simulations
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    Chapter 5 Normal Modes and Essential Dynamics
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    Chapter 6 Calculation of Absolute Protein–Ligand Binding Constants with the Molecular Dynamics Free Energy Perturbation Method
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    Chapter 7 Free Energy Calculations Applied to Membrane Proteins
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    Chapter 8 Molecular dynamics simulations of membrane proteins.
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    Chapter 9 Membrane-Associated Proteins and Peptides
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    Chapter 10 Implicit Membrane Models for Membrane Protein Simulation
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    Chapter 11 Comparative Modeling of Proteins
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    Chapter 12 Transmembrane Protein Models Based on High-Throughput Molecular Dynamics Simulations with Experimental Constraints
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    Chapter 13 Nuclear Magnetic Resonance-Based Modeling and Refinement of Protein Three-Dimensional Structures and Their Complexes
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    Chapter 14 Conformational Changes in Protein Function
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    Chapter 15 Protein Folding and Unfolding by All-Atom Molecular Dynamics Simulations
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    Chapter 16 Modeling of Protein Misfolding in Disease
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    Chapter 17 Identifying Putative Drug Targets and Potential Drug Leads
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    Chapter 18 Receptor Flexibility for Large-Scale In Silico Ligand Screens
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    Chapter 19 Molecular Docking
Attention for Chapter 4: Comparison of Protein Force Fields for Molecular Dynamics Simulations
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Mentioned by

twitter
1 tweeter

Citations

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50 Dimensions

Readers on

mendeley
422 Mendeley
citeulike
3 CiteULike
connotea
1 Connotea
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Chapter title
Comparison of Protein Force Fields for Molecular Dynamics Simulations
Chapter number 4
Book title
Molecular Modeling of Proteins
Published in
Methods in molecular biology, January 2008
DOI 10.1007/978-1-59745-177-2_4
Pubmed ID
Book ISBNs
978-1-58829-864-5, 978-1-59745-177-2
Authors

Olgun Guvench, Alexander D. MacKerell, Guvench, Olgun, MacKerell, Alexander D.

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 422 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 2%
Germany 2 <1%
India 2 <1%
Poland 2 <1%
Canada 2 <1%
Sweden 2 <1%
Brazil 2 <1%
Australia 1 <1%
Indonesia 1 <1%
Other 4 <1%
Unknown 396 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 120 28%
Researcher 76 18%
Student > Master 59 14%
Student > Bachelor 48 11%
Student > Doctoral Student 20 5%
Other 55 13%
Unknown 44 10%
Readers by discipline Count As %
Chemistry 101 24%
Agricultural and Biological Sciences 93 22%
Biochemistry, Genetics and Molecular Biology 80 19%
Physics and Astronomy 21 5%
Engineering 19 5%
Other 54 13%
Unknown 54 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 27 April 2020.
All research outputs
#11,374,437
of 17,549,474 outputs
Outputs from Methods in molecular biology
#3,515
of 10,017 outputs
Outputs of similar age
#174,580
of 286,861 outputs
Outputs of similar age from Methods in molecular biology
#6
of 6 outputs
Altmetric has tracked 17,549,474 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,017 research outputs from this source. They receive a mean Attention Score of 2.7. This one has gotten more attention than average, scoring higher than 55% 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 286,861 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one.