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Fragment-Based Methods in Drug Discovery

Overview of attention for book
Cover of 'Fragment-Based Methods in Drug Discovery'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Solvation methods for protein-ligand docking.
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    Chapter 2 Binding site druggability assessment in fragment-based drug design.
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    Chapter 3 Generating "fragment-based virtual library" using pocket similarity search of ligand-receptor complexes.
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    Chapter 4 Virtual fragment preparation for computational fragment-based drug design.
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    Chapter 5 Fragment library design: using cheminformatics and expert chemists to fill gaps in existing fragment libraries.
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    Chapter 6 Protocol for fragment hopping.
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    Chapter 7 Site Identification by Ligand Competitive Saturation (SILCS) Simulations for Fragment-Based Drug Design.
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    Chapter 8 A Computational Fragment-Based De Novo Design Protocol Guided by Ligand Efficiency Indices (LEI).
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    Chapter 9 Scoring functions for fragment-based drug discovery.
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    Chapter 10 Computational methods for fragment-based ligand design: growing and linking.
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    Chapter 11 Design strategies for computational fragment-based drug design.
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    Chapter 12 Protein binding site analysis for drug discovery using a computational fragment-based method.
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    Chapter 13 Fragment-based design of kinase inhibitors: a practical guide.
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    Chapter 14 Designing a small molecule erythropoietin mimetic.
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    Chapter 15 Designing an Orally Available Nontoxic p38 Inhibitor with a Fragment-Based Strategy.
Attention for Chapter 6: Protocol for fragment hopping.
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

blogs
1 blog

Readers on

mendeley
6 Mendeley
Summary Blogs
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Chapter title
Protocol for fragment hopping.
Chapter number 6
Book title
Fragment-Based Methods in Drug Discovery
Published in
Methods in molecular biology, January 2015
DOI 10.1007/978-1-4939-2486-8_6
Pubmed ID
25709033
Book ISBNs
978-1-4939-2485-1, 978-1-4939-2486-8
Authors

Teuscher KB, Ji H, Kevin B. Teuscher, Haitao Ji

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 17%
Professor 1 17%
Professor > Associate Professor 1 17%
Researcher 1 17%
Unknown 2 33%
Readers by discipline Count As %
Chemistry 3 50%
Unspecified 1 17%
Unknown 2 33%
Attention Score in Context

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 08 April 2015.
All research outputs
#4,147,414
of 22,797,621 outputs
Outputs from Methods in molecular biology
#1,106
of 13,118 outputs
Outputs of similar age
#58,990
of 353,063 outputs
Outputs of similar age from Methods in molecular biology
#75
of 996 outputs
Altmetric has tracked 22,797,621 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,118 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done particularly well, scoring higher than 91% 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 353,063 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 83% of its contemporaries.
We're also able to compare this research output to 996 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.

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