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String Processing and Information Retrieval

Overview of attention for book
Cover of 'String Processing and Information Retrieval'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Constructing Strings at the Nano Scale via Staged Self-assembly
  3. Altmetric Badge
    Chapter 2 Discounted Cumulative Gain and User Decision Models
  4. Altmetric Badge
    Chapter 3 Cross-Lingual Text Fragment Alignment Using Divergence from Randomness
  5. Altmetric Badge
    Chapter 4 Enhancing Document Snippets Using Temporal Information
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    Chapter 5 Spaced Seeds Design Using Perfect Rulers
  7. Altmetric Badge
    Chapter 6 Weighted Shortest Common Supersequence
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    Chapter 7 Approximate Regular Expression Matching with Multi-strings
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    Chapter 8 Persistency in Suffix Trees with Applications to String Interval Problems
  10. Altmetric Badge
    Chapter 9 Approximate Point Set Pattern Matching with L p -Norm
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    Chapter 10 Detecting Health Events on the Social Web to Enable Epidemic Intelligence
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    Chapter 11 A Learned Approach for Ranking News in Real-Time Using the Blogosphere
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    Chapter 12 Attribute Retrieval from Relational Web Tables
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    Chapter 13 Query-Sets + + : A Scalable Approach for Modeling Web Sites
  15. Altmetric Badge
    Chapter 14 Indexing with Gaps
  16. Altmetric Badge
    Chapter 15 Fast Computation of a String Duplication History under No-Breakpoint-Reuse
  17. Altmetric Badge
    Chapter 16 Near Real-Time Suffix Tree Construction via the Fringe Marked Ancestor Problem
  18. Altmetric Badge
    Chapter 17 Approximations and Partial Solutions for the Consensus Sequence Problem
  19. Altmetric Badge
    Chapter 18 Fixed Block Compression Boosting in FM-Indexes
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    Chapter 19 Space Efficient Wavelet Tree Construction
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    Chapter 20 Computing the Longest Common Prefix Array Based on the Burrows-Wheeler Transform
  22. Altmetric Badge
    Chapter 21 A Succinct Index for Hypertext
  23. Altmetric Badge
    Chapter 22 When Was It Written? Automatically Determining Publication Dates
  24. Altmetric Badge
    Chapter 23 A New Approach for Verifying URL Uniqueness in Web Crawlers
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    Chapter 24 External Query Reformulation for Text-Based Image Retrieval
  26. Altmetric Badge
    Chapter 25 A Knowledge-Based Semantic Kernel for Text Classification
  27. Altmetric Badge
    Chapter 26 Compressed Text Indexing with Wildcards
  28. Altmetric Badge
    Chapter 27 Fast q-gram Mining on SLP Compressed Strings
  29. Altmetric Badge
    Chapter 28 Succinct Gapped Suffix Arrays
  30. Altmetric Badge
    Chapter 29 Finding Frequent Elements in Compressed 2D Arrays and Strings
  31. Altmetric Badge
    Chapter 30 On Suffix Extensions in Suffix Trees
  32. Altmetric Badge
    Chapter 31 COCA Filters: Co-occurrence Aware Bloom Filters
  33. Altmetric Badge
    Chapter 32 On-Line Construction of Position Heaps
  34. Altmetric Badge
    Chapter 33 Computing All Subtree Repeats in Ordered Ranked Trees
  35. Altmetric Badge
    Chapter 34 Sparse Spatial Selection for Novelty-Based Search Result Diversification
  36. Altmetric Badge
    Chapter 35 Candidate Document Retrieval for Web-Scale Text Reuse Detection
  37. Altmetric Badge
    Chapter 36 A Multi-faceted Approach to Query Intent Classification
  38. Altmetric Badge
    Chapter 37 Navigating the User Query Space
  39. Altmetric Badge
    Chapter 38 Improved Compressed Indexes for Full-Text Document Retrieval
  40. Altmetric Badge
    Chapter 39 ESP-Index: A Compressed Index Based on Edit-Sensitive Parsing
  41. Altmetric Badge
    Chapter 40 Compressed Indexes for Aligned Pattern Matching
  42. Altmetric Badge
    Chapter 41 String Processing and Information Retrieval
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 (82nd percentile)

Mentioned by

twitter
4 X users
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
156 Mendeley
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Title
String Processing and Information Retrieval
Published by
Processing, January 2011
DOI 10.1007/978-3-642-24583-1
ISBNs
978-3-64-224582-4, 978-3-64-224583-1
Authors

Grossi, Roberto, Sebastiani, Fabrizio, Silvestri, Fabrizio

Editors

Roberto Grossi, Fabrizio Sebastiani, Fabrizio Silvestri

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 156 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 156 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 <1%
Unknown 155 99%
Readers by discipline Count As %
Computer Science 1 <1%
Unknown 155 99%
Attention Score in Context

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 23 January 2023.
All research outputs
#5,344,805
of 26,017,215 outputs
Outputs from Processing
#1
of 3 outputs
Outputs of similar age
#33,378
of 195,911 outputs
Outputs of similar age from Processing
#1
of 1 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3 research outputs from this source. They receive a mean Attention Score of 3.9. This one scored the same or higher as 2 of them.
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 195,911 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 82% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them