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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
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    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 22: What Do We Know?: Simple Statistical Techniques that Help
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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 (86th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
38 Dimensions

Readers on

mendeley
26 Mendeley
citeulike
2 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
What Do We Know?: Simple Statistical Techniques that Help
Chapter number 22
Book title
Chemoinformatics and Computational Chemical Biology
Published in
Methods in molecular biology, January 2011
DOI 10.1007/978-1-60761-839-3_22
Pubmed ID
Book ISBNs
978-1-60761-838-6, 978-1-60761-839-3
Authors

Anthony Nicholls, Nicholls, Anthony

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 15%
Brazil 3 12%
India 1 4%
Unknown 18 69%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 31%
Researcher 5 19%
Student > Bachelor 2 8%
Professor 2 8%
Student > Postgraduate 2 8%
Other 5 19%
Unknown 2 8%
Readers by discipline Count As %
Chemistry 10 38%
Agricultural and Biological Sciences 6 23%
Computer Science 3 12%
Biochemistry, Genetics and Molecular Biology 1 4%
Social Sciences 1 4%
Other 3 12%
Unknown 2 8%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 2017.
All research outputs
#3,626,155
of 22,997,544 outputs
Outputs from Methods in molecular biology
#878
of 13,151 outputs
Outputs of similar age
#23,904
of 181,645 outputs
Outputs of similar age from Methods in molecular biology
#23
of 230 outputs
Altmetric has tracked 22,997,544 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,151 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 93% 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 181,645 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 86% of its contemporaries.
We're also able to compare this research output to 230 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 90% of its contemporaries.