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Chemoinformatics and Computational Chemical Biology

Overview of attention for book
Cover of 'Chemoinformatics and Computational Chemical Biology'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Some Trends in Chem(o)informatics
  3. Altmetric Badge
    Chapter 2 Molecular Similarity Measures
  4. Altmetric Badge
    Chapter 3 The Ups and Downs of Structure-Activity Landscapes
  5. Altmetric Badge
    Chapter 4 Computational Analysis of Activity and Selectivity Cliffs
  6. Altmetric Badge
    Chapter 5 Chemoinformatics and Computational Chemical Biology
  7. Altmetric Badge
    Chapter 6 Predicting the Performance of Fingerprint Similarity Searching
  8. Altmetric Badge
    Chapter 7 Bayesian methods in virtual screening and chemical biology.
  9. Altmetric Badge
    Chapter 8 Chemoinformatics and Computational Chemical Biology
  10. Altmetric Badge
    Chapter 9 Fragment Descriptors in Structure–Property Modeling and Virtual Screening
  11. Altmetric Badge
    Chapter 10 The Scaffold Tree: An Efficient Navigation in the Scaffold Universe
  12. Altmetric Badge
    Chapter 11 Pharmacophore-Based Virtual Screening
  13. Altmetric Badge
    Chapter 12 De novo drug design.
  14. Altmetric Badge
    Chapter 13 Classification of Chemical Reactions and Chemoinformatic Processing of Enzymatic Transformations
  15. Altmetric Badge
    Chapter 14 Informatics Approach to the Rational Design of siRNA Libraries
  16. Altmetric Badge
    Chapter 15 Beyond Rhodopsin: G Protein-Coupled Receptor Structure and Modeling Incorporating the β2-adrenergic and Adenosine A 2A Crystal Structures
  17. Altmetric Badge
    Chapter 16 Methods for Combinatorial and Parallel Library Design
  18. Altmetric Badge
    Chapter 17 The Interweaving of Cheminformatics and HTS
  19. Altmetric Badge
    Chapter 18 Computational Systems Chemical Biology
  20. Altmetric Badge
    Chapter 19 Ligand-Based Approaches to In Silico Pharmacology
  21. Altmetric Badge
    Chapter 20 Molecular Test Systems for Computational Selectivity Studies and Systematic Analysis of Compound Selectivity Profiles
  22. Altmetric Badge
    Chapter 21 Application of Support Vector Machine-Based Ranking Strategies to Search for Target-Selective Compounds
  23. Altmetric Badge
    Chapter 22 What Do We Know?: Simple Statistical Techniques that Help
Attention for Chapter 10: The Scaffold Tree: An Efficient Navigation in the Scaffold Universe
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
38 Dimensions

Readers on

mendeley
31 Mendeley
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Chapter title
The Scaffold Tree: An Efficient Navigation in the Scaffold Universe
Chapter number 10
Book title
Chemoinformatics and Computational Chemical Biology
Published in
Methods in molecular biology, January 2010
DOI 10.1007/978-1-60761-839-3_10
Pubmed ID
Book ISBNs
978-1-60761-838-6, 978-1-60761-839-3
Authors

Peter Ertl, Ansgar Schuffenhauer, Steffen Renner, Ertl, Peter, Schuffenhauer, Ansgar, Renner, Steffen

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
India 1 3%
Germany 1 3%
Unknown 28 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 48%
Student > Ph. D. Student 5 16%
Student > Master 4 13%
Student > Doctoral Student 2 6%
Other 1 3%
Other 1 3%
Unknown 3 10%
Readers by discipline Count As %
Chemistry 12 39%
Agricultural and Biological Sciences 5 16%
Computer Science 5 16%
Unspecified 1 3%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 3 10%
Unknown 4 13%
Attention Score in Context

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 10 August 2020.
All research outputs
#5,815,414
of 23,043,346 outputs
Outputs from Methods in molecular biology
#1,638
of 13,194 outputs
Outputs of similar age
#37,655
of 165,021 outputs
Outputs of similar age from Methods in molecular biology
#27
of 120 outputs
Altmetric has tracked 23,043,346 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 13,194 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 87% 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 165,021 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 76% of its contemporaries.
We're also able to compare this research output to 120 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.