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Computational Cell Biology

Overview of attention for book
Cover of 'Computational Cell Biology'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Rule-Based Models and Applications in Biology
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    Chapter 2 Optimized Protein–Protein Interaction Network Usage with Context Filtering
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    Chapter 3 SignaLink: Multilayered Regulatory Networks
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    Chapter 4 Interplay Between Long Noncoding RNAs and MicroRNAs in Cancer
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    Chapter 5 Methods and Tools in Genome-wide Association Studies
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    Chapter 6 Identifying Differentially Expressed Genes Using Fluorescence-Activated Cell Sorting (FACS) and RNA Sequencing from Low Input Samples
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    Chapter 7 Computational and Experimental Approaches to Predict Host–Parasite Protein–Protein Interactions
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    Chapter 8 An Integrative Approach to Virus–Host Protein–Protein Interactions
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    Chapter 9 The SQUAD Method for the Qualitative Modeling of Regulatory Networks
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    Chapter 10 miRNet—Functional Analysis and Visual Exploration of miRNA–Target Interactions in a Network Context
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    Chapter 11 Systems Biology Analysis to Understand Regulatory miRNA Networks in Lung Cancer
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    Chapter 12 Spatial Analysis of Functional Enrichment (SAFE) in Large Biological Networks
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    Chapter 13 Toward Large-Scale Computational Prediction of Protein Complexes
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    Chapter 14 Computational Models of Cell Cycle Transitions
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    Chapter 15 Simultaneous Profiling of DNA Accessibility and Gene Expression Dynamics with ATAC-Seq and RNA-Seq
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    Chapter 16 Computational Network Analysis for Drug Toxicity Prediction
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    Chapter 17 Modeling the Epigenetic Landscape in Plant Development
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    Chapter 18 Developing Network Models of Multiscale Host Responses Involved in Infections and Diseases
  20. Altmetric Badge
    Chapter 19 Exploring Dynamics and Noise in Gonadotropin-Releasing Hormone (GnRH) Signaling
Attention for Chapter 12: Spatial Analysis of Functional Enrichment (SAFE) in Large Biological Networks
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Chapter title
Spatial Analysis of Functional Enrichment (SAFE) in Large Biological Networks
Chapter number 12
Book title
Computational Cell Biology
Published in
Methods in molecular biology, November 2018
DOI 10.1007/978-1-4939-8618-7_12
Pubmed ID
Book ISBNs
978-1-4939-8617-0, 978-1-4939-8618-7
Authors

Anastasia Baryshnikova, Baryshnikova, Anastasia

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 20%
Student > Ph. D. Student 7 17%
Student > Bachelor 5 12%
Student > Master 4 10%
Student > Postgraduate 3 7%
Other 4 10%
Unknown 10 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 17 41%
Agricultural and Biological Sciences 5 12%
Computer Science 2 5%
Immunology and Microbiology 2 5%
Social Sciences 1 2%
Other 2 5%
Unknown 12 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 19 October 2021.
All research outputs
#18,655,700
of 23,112,054 outputs
Outputs from Methods in molecular biology
#8,000
of 13,226 outputs
Outputs of similar age
#263,420
of 343,833 outputs
Outputs of similar age from Methods in molecular biology
#14
of 18 outputs
Altmetric has tracked 23,112,054 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,226 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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 343,833 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.