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Discovery Science

Overview of attention for book
Cover of 'Discovery Science'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Explaining Mixture Models through Semantic Pattern Mining and Banded Matrix Visualization
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    Chapter 2 Big Data Analysis of StockTwits to Predict Sentiments in the Stock Market
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    Chapter 3 Synthetic Sequence Generator for Recommender Systems – Memory Biased Random Walk on a Sequence Multilayer Network
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    Chapter 4 Predicting Sepsis Severity from Limited Temporal Observations
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    Chapter 5 Completion Time and Next Activity Prediction of Processes Using Sequential Pattern Mining
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    Chapter 6 Antipattern Discovery in Ethiopian Bagana Songs
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    Chapter 7 Categorize, Cluster, and Classify: A 3-C Strategy for Scientific Discovery in the Medical Informatics Platform of the Human Brain Project
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    Chapter 8 Multilayer Clustering: A Discovery Experiment on Country Level Trading Data
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    Chapter 9 Medical Document Mining Combining Image Exploration and Text Characterization
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    Chapter 10 Mining Cohesive Itemsets in Graphs
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    Chapter 11 Mining Rank Data
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    Chapter 12 Link Prediction on the Semantic MEDLINE Network
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    Chapter 13 Medical Image Retrieval Using Multimodal Data
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    Chapter 14 Fast Computation of the Tree Edit Distance between Unordered Trees Using IP Solvers
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    Chapter 15 Probabilistic Active Learning: Towards Combining Versatility, Optimality and Efficiency
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    Chapter 16 Incremental Learning with Social Media Data to Predict Near Real-Time Events
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    Chapter 17 Stacking Label Features for Learning Multilabel Rules
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    Chapter 18 Selective Forgetting for Incremental Matrix Factorization in Recommender Systems
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    Chapter 19 Providing Concise Database Covers Instantly by Recursive Tile Sampling
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    Chapter 20 Resampling-Based Framework for Estimating Node Centrality of Large Social Network
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    Chapter 21 Detecting Maximum k-Plex with Iterative Proper ℓ-Plex Search
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    Chapter 22 Exploiting Bhattacharyya Similarity Measure to Diminish User Cold-Start Problem in Sparse Data
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    Chapter 23 Failure Prediction – An Application in the Railway Industry
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    Chapter 24 Wind Power Forecasting Using Time Series Cluster Analysis
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    Chapter 25 Feature Selection in Hierarchical Feature Spaces
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    Chapter 26 Incorporating Regime Metrics into Latent Variable Dynamic Models to Detect Early-Warning Signals of Functional Changes in Fisheries Ecology
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    Chapter 27 An Efficient Algorithm for Enumerating Chordless Cycles and Chordless Paths
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    Chapter 28 Algorithm Selection on Data Streams
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    Chapter 29 Sparse Coding for Key Node Selection over Networks
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    Chapter 30 Variational Dependent Multi-output Gaussian Process Dynamical Systems
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    Chapter 31 Erratum: Categorize, Cluster, and Classify: A 3-C Strategy for Scientific Discovery in the Medical Informatics Platform of the Human Brain Project
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
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

twitter
6 tweeters
wikipedia
1 Wikipedia page

Readers on

mendeley
14 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Discovery Science
Published by
Lecture notes in computer science, January 2014
DOI 10.1007/978-3-319-11812-3
ISBNs
978-3-31-911811-6, 978-3-31-911812-3
Editors

Sašo Džeroski, Panče Panov, Dragi Kocev, Ljupčo Todorovski

Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 36%
Student > Ph. D. Student 3 21%
Student > Bachelor 1 7%
Student > Doctoral Student 1 7%
Student > Master 1 7%
Other 1 7%
Unknown 2 14%
Readers by discipline Count As %
Computer Science 8 57%
Engineering 2 14%
Medicine and Dentistry 1 7%
Environmental Science 1 7%
Unknown 2 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 26 April 2016.
All research outputs
#3,000,522
of 15,825,232 outputs
Outputs from Lecture notes in computer science
#1,305
of 7,608 outputs
Outputs of similar age
#61,840
of 265,956 outputs
Outputs of similar age from Lecture notes in computer science
#19
of 79 outputs
Altmetric has tracked 15,825,232 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,608 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done well, scoring higher than 82% 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 265,956 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 76% of its contemporaries.
We're also able to compare this research output to 79 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.