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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
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    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
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    Chapter 21 Data Mining of the MultiDark Simulation
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    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
Overall attention for this book and its chapters
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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 (86th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

twitter
10 X users
facebook
2 Facebook pages
wikipedia
1 Wikipedia page

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
11 Mendeley
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Title
Astrostatistics and Data Mining
Published by
ADS, August 2012
DOI 10.1007/978-1-4614-3323-1
ISBNs
978-1-4614-3323-1, 978-1-4614-3322-4
Editors

Sarro, Luis Manuel, Eyer, Laurent, O'Mullane, William, De Ridder, Joris

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 36%
Student > Master 2 18%
Student > Bachelor 1 9%
Other 1 9%
Researcher 1 9%
Other 2 18%
Readers by discipline Count As %
Computer Science 4 36%
Social Sciences 2 18%
Physics and Astronomy 2 18%
Mathematics 1 9%
Unspecified 1 9%
Other 1 9%
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 12 May 2019.
All research outputs
#3,452,035
of 24,510,033 outputs
Outputs from ADS
#2,154
of 37,168 outputs
Outputs of similar age
#22,580
of 168,387 outputs
Outputs of similar age from ADS
#9
of 157 outputs
Altmetric has tracked 24,510,033 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 37,168 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done particularly well, scoring higher than 94% 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 168,387 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 86% of its contemporaries.
We're also able to compare this research output to 157 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 94% of its contemporaries.