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Research in Computational Molecular Biology

Overview of attention for book
Cover of 'Research in Computational Molecular Biology'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Long Reads Enable Accurate Estimates of Complexity of Metagenomes
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    Chapter 2 Chromatyping: Reconstructing Nucleosome Profiles from NOMe Sequencing Data
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    Chapter 3 GTED: Graph Traversal Edit Distance
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    Chapter 4 Statistical Inference of Peroxisome Dynamics
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    Chapter 5 Loss-Function Learning for Digital Tissue Deconvolution
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    Chapter 6 Inference of Population Structure from Ancient DNA
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    Chapter 7 Using Minimum Path Cover to Boost Dynamic Programming on DAGs: Co-linear Chaining Extended
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    Chapter 8 Modeling Dependence in Evolutionary Inference for Proteins
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    Chapter 9 Constrained De Novo Sequencing of neo-Epitope Peptides Using Tandem Mass Spectrometry
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    Chapter 10 Reverse de Bruijn: Utilizing Reverse Peptide Synthesis to Cover All Amino Acid k -mers
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    Chapter 11 Circular Networks from Distorted Metrics
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    Chapter 12 A Nested 2-Level Cross-Validation Ensemble Learning Pipeline Suggests a Negative Pressure Against Crosstalk snoRNA-mRNA Interactions in Saccharomyces Cerevisae
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    Chapter 13 Context-Specific Nested Effects Models
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    Chapter 14 Algorithmic Framework for Approximate Matching Under Bounded Edits with Applications to Sequence Analysis
  16. Altmetric Badge
    Chapter 15 Accurate Reconstruction of Microbial Strains from Metagenomic Sequencing Using Representative Reference Genomes
Attention for Chapter 5: Loss-Function Learning for Digital Tissue Deconvolution
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Mentioned by

twitter
3 X users

Readers on

mendeley
8 Mendeley
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Chapter title
Loss-Function Learning for Digital Tissue Deconvolution
Chapter number 5
Book title
Research in Computational Molecular Biology
Published in
arXiv, January 2018
DOI 10.1007/978-3-319-89929-9_5
Book ISBNs
978-3-31-989928-2, 978-3-31-989929-9
Authors

Franziska Görtler, Stefan Solbrig, Tilo Wettig, Peter J. Oefner, Rainer Spang, Michael Altenbuchinger, Görtler, Franziska, Solbrig, Stefan, Wettig, Tilo, Oefner, Peter J., Spang, Rainer, Altenbuchinger, Michael

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X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 25%
Student > Ph. D. Student 1 13%
Other 1 13%
Student > Master 1 13%
Unknown 3 38%
Readers by discipline Count As %
Computer Science 2 25%
Medicine and Dentistry 2 25%
Engineering 1 13%
Unknown 3 38%
Attention Score in Context

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 28 January 2018.
All research outputs
#16,005,008
of 24,355,571 outputs
Outputs from arXiv
#353,915
of 1,034,710 outputs
Outputs of similar age
#265,377
of 451,033 outputs
Outputs of similar age from arXiv
#9,134
of 21,611 outputs
Altmetric has tracked 24,355,571 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,034,710 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 60% 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 451,033 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21,611 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 50% of its contemporaries.