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Advances in Intelligent Data Analysis XVI

Overview of attention for book
Cover of 'Advances in Intelligent Data Analysis XVI'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Improving Chairlift Security with Deep Learning
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    Chapter 2 Discovering Motifs with Variants in Music Databases
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    Chapter 3 Biclustering Multivariate Time Series
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    Chapter 4 Visualization of Topic-Sentiment Dynamics in Crowdfunding Projects
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    Chapter 5 Regression Tree for Bandits Models in A/B Testing
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    Chapter 6 Seasonal Variation in Collective Mood via Twitter Content and Medical Purchases
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    Chapter 7 Skin Cancer Detection in Dermoscopy Images Using Sub-Region Features
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    Chapter 8 Bucket Selection: A Model-Independent Diverse Selection Strategy for Widening
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    Chapter 9 Interactive Pattern Sampling for Characterizing Unlabeled Data
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    Chapter 10 Searching for Spatio-Temporal-Keyword Patterns in Semantic Trajectories
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    Chapter 11 Natural Language Analysis of Online Health Forums
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    Chapter 12 Freudian Slips: Analysing the Internal Representations of a Neural Network from Its Mistakes
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    Chapter 13 KAPMiner: Mining Ordered Association Rules with Constraints
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    Chapter 14 A Dynamic Adaptive Questionnaire for Improved Disease Diagnostics
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    Chapter 15 ABIDE: Querying Time-Evolving Sequences of Temporal Intervals
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    Chapter 16 The Actors of History: Narrative Network Analysis Reveals the Institutions of Power in British Society Between 1800-1950
  18. Altmetric Badge
    Chapter 17 Learning DTW-Preserving Shapelets
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    Chapter 18 Droplet Ensemble Learning on Drifting Data Streams
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    Chapter 19 Predictive Clustering Trees for Hierarchical Multi-Target Regression
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    Chapter 20 Identifying Novel Features from Specimen Data for the Prediction of Valuable Collection Trips
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    Chapter 21 Adapting Supervised Classification Algorithms to Arbitrary Weak Label Scenarios
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    Chapter 22 The Combination of Decision in Crowds When the Number of Reliable Annotator Is Scarce
  24. Altmetric Badge
    Chapter 23 Estimating Sequence Similarity from Contig Sets
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    Chapter 24 Computational Topology Techniques for Characterizing Time-Series Data
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    Chapter 25 Improving Cold-Start Recommendations with Social-Media Trends and Reputations
  27. Altmetric Badge
    Chapter 26 Hierarchical Novelty Detection
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    Chapter 27 Towards Automatic Evaluation of Asphalt Irregularity Using Smartphone’s Sensors
  29. Altmetric Badge
    Chapter 28 A Structural Benchmark for Logical Argumentation Frameworks
Attention for Chapter 16: The Actors of History: Narrative Network Analysis Reveals the Institutions of Power in British Society Between 1800-1950
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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2 X users

Citations

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1 Dimensions

Readers on

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13 Mendeley
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Chapter title
The Actors of History: Narrative Network Analysis Reveals the Institutions of Power in British Society Between 1800-1950
Chapter number 16
Book title
Advances in Intelligent Data Analysis XVI
Published in
Lecture notes in computer science, October 2017
DOI 10.1007/978-3-319-68765-0_16
Book ISBNs
978-3-31-968764-3, 978-3-31-968765-0
Authors

Thomas Lansdall-Welfare, Saatviga Sudhahar, James Thompson, Nello Cristianini

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 23%
Student > Ph. D. Student 2 15%
Professor 1 8%
Unspecified 1 8%
Student > Master 1 8%
Other 1 8%
Unknown 4 31%
Readers by discipline Count As %
Computer Science 3 23%
Unspecified 1 8%
Arts and Humanities 1 8%
Linguistics 1 8%
Social Sciences 1 8%
Other 0 0%
Unknown 6 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 06 December 2017.
All research outputs
#14,366,847
of 23,006,268 outputs
Outputs from Lecture notes in computer science
#4,326
of 8,144 outputs
Outputs of similar age
#179,022
of 323,108 outputs
Outputs of similar age from Lecture notes in computer science
#26
of 53 outputs
Altmetric has tracked 23,006,268 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,144 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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 323,108 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 53 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.