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Protein Structure Prediction

Overview of attention for book
Cover of 'Protein Structure Prediction'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Protein Structure Modeling with MODELLER
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    Chapter 2 Protein Structure Prediction
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    Chapter 3 The MULTICOM Protein Tertiary Structure Prediction System
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    Chapter 4 Modeling of Protein Side-Chain Conformations with RASP
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    Chapter 5 Direct Coupling Analysis for Protein Contact Prediction
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    Chapter 6 ITScorePro: An Efficient Scoring Program for Evaluating the Energy Scores of Protein Structures for Structure Prediction
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    Chapter 7 Assessing the Quality of Modelled 3D Protein Structures Using the ModFOLD Server
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    Chapter 8 3D-SURFER 2.0: Web Platform for Real-Time Search and Characterization of Protein Surfaces.
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    Chapter 9 SPOT-Seq-RNA: Predicting Protein–RNA Complex Structure and RNA-Binding Function by Fold Recognition and Binding Affinity Prediction
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    Chapter 10 Protein Structure Prediction
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    Chapter 11 Prediction of Intrinsic Disorder in Proteins Using MFDp2
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    Chapter 12 Modeling Protein–Protein Complexes Using the HADDOCK Webserver “Modeling Protein Complexes with HADDOCK”
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    Chapter 13 Predicting the Structure of Protein–Protein Complexes Using the SwarmDock Web Server
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    Chapter 14 DOCK/PIERR: Web Server for Structure Prediction of Protein–Protein Complexes
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    Chapter 15 Pairwise and Multimeric Protein-Protein Docking Using the LZerD Program Suite.
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    Chapter 16 Protocols for Efficient Simulations of Long-Time Protein Dynamics Using Coarse-Grained CABS Model
Attention for Chapter 10: Protein Structure Prediction
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  • Good Attention Score compared to outputs of the same age and source (71st percentile)

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Chapter title
Protein Structure Prediction
Chapter number 10
Book title
Protein Structure Prediction
Published in
Methods in molecular biology, January 2014
DOI 10.1007/978-1-4939-0366-5_10
Pubmed ID
Book ISBNs
978-1-4939-0365-8, 978-1-4939-0366-5
Authors

Shimizu K, Kana Shimizu

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 16 November 2016.
All research outputs
#8,911,485
of 15,535,185 outputs
Outputs from Methods in molecular biology
#2,329
of 9,079 outputs
Outputs of similar age
#116,128
of 239,965 outputs
Outputs of similar age from Methods in molecular biology
#15
of 56 outputs
Altmetric has tracked 15,535,185 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,079 research outputs from this source. They receive a mean Attention Score of 2.6. This one has gotten more attention than average, scoring higher than 72% 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 239,965 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 50% of its contemporaries.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.