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Provenance and Annotation of Data and Processes

Overview of attention for book
Cover of 'Provenance and Annotation of Data and Processes'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 RecProv: Towards Provenance-Aware User Space Record and Replay
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    Chapter 2 Tracking and Analyzing the Evolution of Provenance from Scripts
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    Chapter 3 Trade-Offs in Automatic Provenance Capture
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    Chapter 4 Analysis of Memory Constrained Live Provenance
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    Chapter 5 Analyzing Provenance Across Heterogeneous Provenance Graphs
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    Chapter 6 Prov Viewer: A Graph-Based Visualization Tool for Interactive Exploration of Provenance Data
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    Chapter 7 Intermediate Notation for Provenance and Workflow Reproducibility
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    Chapter 8 Towards the Domain Agnostic Generation of Natural Language Explanations from Provenance Graphs for Casual Users
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    Chapter 9 Versioning Version Trees: The Provenance of Actions that Affect Multiple Versions
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    Chapter 10 Enabling Web Service Request Citation by Provenance Information
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    Chapter 11 Modelling Provenance of Sensor Data for Food Safety Compliance Checking
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    Chapter 12 Modelling Provenance Collection Points and Their Impact on Provenance Graphs
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    Chapter 13 Yin & Yang: Demonstrating Complementary Provenance from noWorkflow & YesWorkflow
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    Chapter 14 MPO: A System to Document and Analyze Distributed Heterogeneous Workflows
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    Chapter 15 PROV-JSONLD: A JSON and Linked Data Representation for Provenance
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    Chapter 16 Provenance as Essential Infrastructure for Data Lakes
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    Chapter 17 Provenance-Based Retrieval: Fostering Reuse and Reproducibility Across Scientific Disciplines
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    Chapter 18 Addressing Scientific Rigor in Data Analytics Using Semantic Workflows
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    Chapter 19 Reconstructing Human-Generated Provenance Through Similarity-Based Clustering
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    Chapter 20 Social Media Data in Research: Provenance Challenges
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    Chapter 21 Fine-Grained Provenance Collection over Scripts Through Program Slicing
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    Chapter 22 Prov2ONE: An Algorithm for Automatically Constructing ProvONE Provenance Graphs
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    Chapter 23 Implementing Unified Why- and Why-Not Provenance Through Games
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    Chapter 24 SisGExp: Rethinking Long-Tail Agronomic Experiments
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    Chapter 25 Towards Provenance Capturing of Quantified Self Data
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    Chapter 26 A Review of Guidelines and Models for Representation of Provenance Information from Neuroscience Experiments
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    Chapter 27 Tracking and Establishing Provenance of Earth Science Datasets: A NASA-Based Example
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    Chapter 28 DataONE: A Data Federation with Provenance Support
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    Chapter 29 Erratum to: Trade-Offs in Automatic Provenance Capture
Attention for Chapter 13: Yin & Yang: Demonstrating Complementary Provenance from noWorkflow & YesWorkflow
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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 (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

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1 blog
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1 X user

Citations

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4 Dimensions

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Chapter title
Yin & Yang: Demonstrating Complementary Provenance from noWorkflow & YesWorkflow
Chapter number 13
Book title
Provenance and Annotation of Data and Processes
Published in
Lecture notes in computer science, June 2016
DOI 10.1007/978-3-319-40593-3_13
Book ISBNs
978-3-31-940592-6, 978-3-31-940593-3
Authors

João Felipe Pimentel, Saumen Dey, Timothy McPhillips, Khalid Belhajjame, David Koop, Leonardo Murta, Vanessa Braganholo, Bertram Ludäscher

Editors

Marta Mattoso, Boris Glavic

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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 14%
Argentina 1 14%
Unknown 5 71%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 29%
Lecturer 1 14%
Professor 1 14%
Student > Bachelor 1 14%
Student > Ph. D. Student 1 14%
Other 1 14%
Readers by discipline Count As %
Computer Science 5 71%
Biochemistry, Genetics and Molecular Biology 1 14%
Agricultural and Biological Sciences 1 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 05 October 2020.
All research outputs
#3,278,430
of 22,876,619 outputs
Outputs from Lecture notes in computer science
#742
of 8,130 outputs
Outputs of similar age
#60,601
of 339,398 outputs
Outputs of similar age from Lecture notes in computer science
#21
of 324 outputs
Altmetric has tracked 22,876,619 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,130 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done particularly well, scoring higher than 90% 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 339,398 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 82% of its contemporaries.
We're also able to compare this research output to 324 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 93% of its contemporaries.