↓ Skip to main content

Protein Crystallography

Overview of attention for book
Cover of 'Protein Crystallography'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Expression and Purification of Recombinant Proteins in Escherichia coli with a His6 or Dual His6-MBP Tag
  3. Altmetric Badge
    Chapter 2 Protein Crystallization
  4. Altmetric Badge
    Chapter 3 Advanced Methods of Protein Crystallization
  5. Altmetric Badge
    Chapter 4 The “Sticky Patch” Model of Crystallization and Modification of Proteins for Enhanced Crystallizability
  6. Altmetric Badge
    Chapter 5 Crystallization of Membrane Proteins: An Overview
  7. Altmetric Badge
    Chapter 6 Locating and Visualizing Crystals for X-Ray Diffraction Experiments
  8. Altmetric Badge
    Chapter 7 Collection of X-Ray Diffraction Data from Macromolecular Crystals
  9. Altmetric Badge
    Chapter 8 Identifying and Overcoming Crystal Pathologies: Disorder and Twinning
  10. Altmetric Badge
    Chapter 9 Applications of X-Ray Micro-Beam for Data Collection
  11. Altmetric Badge
    Chapter 10 Serial Synchrotron X-Ray Crystallography (SSX)
  12. Altmetric Badge
    Chapter 11 Time-Resolved Macromolecular Crystallography at Modern X-Ray Sources
  13. Altmetric Badge
    Chapter 12 Structure Determination Using X-Ray Free-Electron Laser Pulses
  14. Altmetric Badge
    Chapter 13 Processing of XFEL Data
  15. Altmetric Badge
    Chapter 14 Many Ways to Derivatize Macromolecules and Their Crystals for Phasing
  16. Altmetric Badge
    Chapter 15 Experimental Phasing: Substructure Solution and Density Modification as Implemented in SHELX
  17. Altmetric Badge
    Chapter 16 Contemporary Use of Anomalous Diffraction in Biomolecular Structure Analysis
  18. Altmetric Badge
    Chapter 17 Long-Wavelength X-Ray Diffraction and Its Applications in Macromolecular Crystallography
  19. Altmetric Badge
    Chapter 18 Acknowledging Errors: Advanced Molecular Replacement with Phaser
  20. Altmetric Badge
    Chapter 19 Rosetta Structure Prediction as a Tool for Solving Difficult Molecular Replacement Problems
  21. Altmetric Badge
    Chapter 20 Radiation Damage in Macromolecular Crystallography
  22. Altmetric Badge
    Chapter 21 Boxes of Model Building and Visualization
  23. Altmetric Badge
    Chapter 22 Structure Refinement at Atomic Resolution
  24. Altmetric Badge
    Chapter 23 Low Resolution Refinement of Atomic Models Against Crystallographic Data
  25. Altmetric Badge
    Chapter 24 Stereochemistry and Validation of Macromolecular Structures
  26. Altmetric Badge
    Chapter 25 Validation of Protein–Ligand Crystal Structure Models: Small Molecule and Peptide Ligands
  27. Altmetric Badge
    Chapter 26 Protein Data Bank (PDB): The Single Global Macromolecular Structure Archive
  28. Altmetric Badge
    Chapter 27 Databases, Repositories, and Other Data Resources in Structural Biology
Attention for Chapter 27: Databases, Repositories, and Other Data Resources in Structural Biology
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

twitter
6 tweeters
googleplus
1 Google+ user

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
15 Mendeley
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
Databases, Repositories, and Other Data Resources in Structural Biology
Chapter number 27
Book title
Protein Crystallography
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-7000-1_27
Pubmed ID
Book ISBNs
978-1-4939-6998-2, 978-1-4939-7000-1
Authors

Heping Zheng, Przemyslaw J. Porebski, Marek Grabowski, David R. Cooper, Wladek Minor, Zheng, Heping, Porebski, Przemyslaw J., Grabowski, Marek, Cooper, David R., Minor, Wladek

Editors

Alexander Wlodawer, Zbigniew Dauter, Mariusz Jaskolski

Abstract

Structural biology, like many other areas of modern science, produces an enormous amount of primary, derived, and "meta" data with a high demand on data storage and manipulations. Primary data come from various steps of sample preparation, diffraction experiments, and functional studies. These data are not only used to obtain tangible results, like macromolecular structural models, but also to enrich and guide our analysis and interpretation of various biomedical problems. Herein we define several categories of data resources, (a) Archives, (b) Repositories, (c) Databases, and (d) Advanced Information Systems, that can accommodate primary, derived, or reference data. Data resources may be used either as web portals or internally by structural biology software. To be useful, each resource must be maintained, curated, as well as integrated with other resources. Ideally, the system of interconnected resources should evolve toward comprehensive "hubs", or Advanced Information Systems. Such systems, encompassing the PDB and UniProt, are indispensable not only for structural biology, but for many related fields of science. The categories of data resources described herein are applicable well beyond our usual scientific endeavors.

Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 7%
Unknown 14 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 40%
Student > Bachelor 2 13%
Professor 2 13%
Student > Ph. D. Student 2 13%
Other 1 7%
Other 1 7%
Unknown 1 7%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 33%
Agricultural and Biological Sciences 4 27%
Computer Science 1 7%
Pharmacology, Toxicology and Pharmaceutical Science 1 7%
Psychology 1 7%
Other 2 13%
Unknown 1 7%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 09 March 2018.
All research outputs
#3,878,681
of 13,791,430 outputs
Outputs from Methods in molecular biology
#1,146
of 8,563 outputs
Outputs of similar age
#88,452
of 267,828 outputs
Outputs of similar age from Methods in molecular biology
#4
of 24 outputs
Altmetric has tracked 13,791,430 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 8,563 research outputs from this source. They receive a mean Attention Score of 2.2. This one has done well, scoring higher than 86% 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 267,828 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.