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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 Faster Exact Search Using Document Clustering
  3. Altmetric Badge
    Chapter 2 Fast Online Lempel-Ziv Factorization in Compressed Space
  4. Altmetric Badge
    Chapter 3 Adaptive Computation of the Swap-Insert Correction Distance
  5. Altmetric Badge
    Chapter 4 Transforming XML Streams with References
  6. Altmetric Badge
    Chapter 5 Efficient Term Set Prediction Using the Bell-Wigner Inequality
  7. Altmetric Badge
    Chapter 6 On Prefix/Suffix-Square Free Words
  8. Altmetric Badge
    Chapter 7 Temporal Analysis of CHAVE Collection
  9. Altmetric Badge
    Chapter 8 DeShaTo: Describing the Shape of Cumulative Topic Distributions to Rank Retrieval Systems Without Relevance Judgments
  10. Altmetric Badge
    Chapter 9 Induced Sorting Suffixes in External Memory with Better Design and Less Space
  11. Altmetric Badge
    Chapter 10 Efficient Algorithms for Longest Closed Factor Array
  12. Altmetric Badge
    Chapter 11 A Compact RDF Store Using Suffix Arrays
  13. Altmetric Badge
    Chapter 12 Chaining Fragments in Sequences: to Sweep or Not (Extended Abstract)
  14. Altmetric Badge
    Chapter 13 A Faster Algorithm for Computing Maximal $$\alpha $$ -gapped Repeats in a String
  15. Altmetric Badge
    Chapter 14 Selective Labeling and Incomplete Label Mitigation for Low-Cost Evaluation
  16. Altmetric Badge
    Chapter 15 Relative Select
  17. Altmetric Badge
    Chapter 16 Temporal Query Classification at Different Granularities
  18. Altmetric Badge
    Chapter 17 Prefix and Suffix Reversals on Strings
  19. Altmetric Badge
    Chapter 18 Filtration Algorithms for Approximate Order-Preserving Matching
  20. Altmetric Badge
    Chapter 19 Fishing in Read Collections: Memory Efficient Indexing for Sequence Assembly
  21. Altmetric Badge
    Chapter 20 How Big is that Genome? Estimating Genome Size and Coverage from k-mer Abundance Spectra
  22. Altmetric Badge
    Chapter 21 Assessing the Efficiency of Suffix Stripping Approaches for Portuguese Stemming
  23. Altmetric Badge
    Chapter 22 Space-Efficient Detection of Unusual Words
  24. Altmetric Badge
    Chapter 23 Parallel Construction of Succinct Representations of Suffix Tree Topologies
  25. Altmetric Badge
    Chapter 24 Computing the Longest Unbordered Substring
  26. Altmetric Badge
    Chapter 25 Online Self-Indexed Grammar Compression
  27. Altmetric Badge
    Chapter 26 Tight Bound for the Number of Distinct Palindromes in a Tree
  28. Altmetric Badge
    Chapter 27 Beyond the Runs Theorem
  29. Altmetric Badge
    Chapter 28 Sampling the Suffix Array with Minimizers
  30. Altmetric Badge
    Chapter 29 Longest Common Prefix with Mismatches
  31. Altmetric Badge
    Chapter 30 Evaluating Geographical Knowledge Re-Ranking, Linguistic Processing and Query Expansion Techniques for Geographical Information Retrieval
  32. Altmetric Badge
    Chapter 31 Improved Practical Compact Dynamic Tries
  33. Altmetric Badge
    Chapter 32 ShRkC: Shard Rank Cutoff Prediction for Selective Search
  34. Altmetric Badge
    Chapter 33 Range LCP Queries Revisited
  35. Altmetric Badge
    Chapter 34 Feasibility of Word Difficulty Prediction
Attention for Chapter 20: How Big is that Genome? Estimating Genome Size and Coverage from k-mer Abundance Spectra
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (57th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

wikipedia
2 Wikipedia pages

Readers on

mendeley
32 Mendeley
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Chapter title
How Big is that Genome? Estimating Genome Size and Coverage from k-mer Abundance Spectra
Chapter number 20
Book title
String Processing and Information Retrieval
Published in
Lecture notes in computer science, September 2015
DOI 10.1007/978-3-319-23826-5_20
Book ISBNs
978-3-31-923825-8, 978-3-31-923826-5
Authors

Michal Hozza, Tomáš Vinař, Broňa Brejová

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 %
Japan 1 3%
Unknown 31 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 38%
Researcher 5 16%
Student > Bachelor 3 9%
Student > Doctoral Student 3 9%
Student > Master 3 9%
Other 1 3%
Unknown 5 16%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 28%
Agricultural and Biological Sciences 5 16%
Engineering 3 9%
Computer Science 3 9%
Environmental Science 2 6%
Other 3 9%
Unknown 7 22%
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 23 June 2021.
All research outputs
#7,523,397
of 22,959,818 outputs
Outputs from Lecture notes in computer science
#2,489
of 8,134 outputs
Outputs of similar age
#90,785
of 267,747 outputs
Outputs of similar age from Lecture notes in computer science
#39
of 167 outputs
Altmetric has tracked 22,959,818 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 8,134 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 54% 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 267,747 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.
We're also able to compare this research output to 167 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.