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Astrostatistics and Data Mining

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

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Recent Advances in Cosmological Bayesian Model Comparison
  3. Altmetric Badge
    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
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    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
  29. Altmetric Badge
    Chapter 28 Parametrization of Binary Stars with Gaia Observations
Attention for Chapter 3: Extracting Knowledge From Massive Astronomical Data Sets
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  • Good Attention Score compared to outputs of the same age and source (78th percentile)

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Chapter title
Extracting Knowledge From Massive Astronomical Data Sets
Chapter number 3
Book title
Astrostatistics and Data Mining
Published in
arXiv, September 2011
DOI 10.1007/978-1-4614-3323-1_3
Book ISBNs
978-1-4614-3322-4, 978-1-4614-3323-1
Authors

Massimo Brescia, Stefano Cavuoti, S. G. Djorgovski, Ciro Donalek, Giuseppe Longo, Maurizio Paolillo, George S. Djorgovski, Brescia, Massimo, Cavuoti, Stefano, Djorgovski, George S., Donalek, Ciro, Longo, Giuseppe, Paolillo, Maurizio

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users 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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Netherlands 1 3%
Italy 1 3%
Canada 1 3%
Unknown 28 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 25%
Student > Ph. D. Student 6 19%
Student > Master 4 13%
Professor > Associate Professor 3 9%
Student > Doctoral Student 2 6%
Other 5 16%
Unknown 4 13%
Readers by discipline Count As %
Physics and Astronomy 21 66%
Computer Science 2 6%
Social Sciences 2 6%
Economics, Econometrics and Finance 1 3%
Decision Sciences 1 3%
Other 1 3%
Unknown 4 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 2011.
All research outputs
#8,175,925
of 24,510,033 outputs
Outputs from arXiv
#172,306
of 988,171 outputs
Outputs of similar age
#45,744
of 129,732 outputs
Outputs of similar age from arXiv
#465
of 2,606 outputs
Altmetric has tracked 24,510,033 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 988,171 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done well, scoring higher than 81% 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 129,732 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2,606 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.