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Astrostatistics and Data Mining

Overview of attention for book
Cover of 'Astrostatistics and Data Mining'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Recent Advances in Cosmological Bayesian Model Comparison
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    Chapter 2 Science from Gaia: How to Deal with a Complex Billion-Source Catalogue and Data Archive
  4. Altmetric Badge
    Chapter 3 Extracting Knowledge From Massive Astronomical Data Sets
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    Chapter 4 The Art of Data Science
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    Chapter 5 The Distribution of Galaxies in Spectral Space
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    Chapter 6 Utilizing Astroinformatics to Maximize the Science Return of the Next Generation Virgo Cluster Survey
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    Chapter 7 Adjustment of Observational Data to Specific Functional Forms Using a Particle Swarm Algorithm and Differential Evolution: Rotational Curves of a Spiral Galaxy as Case Study
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    Chapter 8 Probabilistic Description of Stellar Ensembles
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    Chapter 9 Solar System Parameters from the Gaia Small Solar System Object Data
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    Chapter 10 Data Management at Gaia Data Processing Centers
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    Chapter 11 Hipparcos Variable Star Detection and Classification Efficiency
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    Chapter 12 Distributed Genetic Algorithm for Feature Selection in Gaia RVS Spectra: Application to ANN Parameterization
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    Chapter 13 Efficient Calculation of Covariances for Astrometric Data in the Gaia Catalogue
  15. Altmetric Badge
    Chapter 14 Bayesian Analysis of Cosmic Structures
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    Chapter 15 Generalized Stellar Parametrizer with Gaia Photometry Data
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    Chapter 16 Classification of Poorly Time Sampled Light Curves of Periodic Variable Stars
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    Chapter 17 Handling Imbalanced Data Sets in Multistage Classification
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    Chapter 18 A new approach to the optimization of the extraction of astrometric and photometric information from multi-wavelength images in cosmological fields
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    Chapter 19 Statistical Analysis of Caustic Crossings in Multiply Imaged Quasars
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    Chapter 20 Stellar Age and Mass Determination
  22. Altmetric Badge
    Chapter 21 Data Mining of the MultiDark Simulation
  23. Altmetric Badge
    Chapter 22 Overcoming Sample Selection Bias in Variable Star Classification
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    Chapter 23 Data Mining on Ice
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    Chapter 24 The Catalogue of X-Ray Bursts Detected by JEM-X Onboard INTEGRAL
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    Chapter 25 The Discrete Source Classifier in Gaia-Apsis
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    Chapter 26 A Checklist for Planning Research Data Management
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    Chapter 27 Efficient Use of Simultaneous Multi-Band Observations for Variable Star Analysis
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    Chapter 28 Parametrization of Binary Stars with Gaia Observations
Attention for Chapter 6: Utilizing Astroinformatics to Maximize the Science Return of the Next Generation Virgo Cluster Survey
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Chapter title
Utilizing Astroinformatics to Maximize the Science Return of the Next Generation Virgo Cluster Survey
Chapter number 6
Book title
Astrostatistics and Data Mining
Published in
arXiv, October 2011
DOI 10.1007/978-1-4614-3323-1_6
Book ISBNs
978-1-4614-3322-4, 978-1-4614-3323-1
Authors

Nicholas M. Ball, Ball, Nicholas M.

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

Geographical breakdown

Country Count As %
United Kingdom 1 25%
United States 1 25%
Italy 1 25%
Unknown 1 25%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 75%
Unknown 1 25%
Readers by discipline Count As %
Physics and Astronomy 2 50%
Computer Science 1 25%
Unknown 1 25%
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 27 October 2011.
All research outputs
#15,237,301
of 22,655,397 outputs
Outputs from arXiv
#369,787
of 928,092 outputs
Outputs of similar age
#95,818
of 140,468 outputs
Outputs of similar age from arXiv
#1,116
of 3,145 outputs
Altmetric has tracked 22,655,397 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 928,092 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 53% 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 140,468 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3,145 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.