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Fundamentals of Predictive Text Mining

Overview of attention for book
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 (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

policy
1 policy source
wikipedia
1 Wikipedia page

Citations

dimensions_citation
87 Dimensions

Readers on

mendeley
26 Mendeley
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Title
Fundamentals of Predictive Text Mining
Published by
ADS, June 2010
DOI 10.1007/978-1-84996-226-1
ISBNs
978-1-84996-225-4, 978-1-84996-226-1, 978-1-4471-2565-5
Authors

Weiss, Sholom M., Indurkhya, Nitin, Zhang, Tong, Sholom M. Weiss, Nitin Indurkhya, Tong Zhang

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 4%
United States 1 4%
Unknown 24 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 23%
Lecturer 3 12%
Student > Doctoral Student 3 12%
Researcher 2 8%
Student > Master 2 8%
Other 4 15%
Unknown 6 23%
Readers by discipline Count As %
Social Sciences 10 38%
Business, Management and Accounting 3 12%
Arts and Humanities 2 8%
Medicine and Dentistry 2 8%
Computer Science 1 4%
Other 2 8%
Unknown 6 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 11 November 2019.
All research outputs
#4,720,129
of 22,888,307 outputs
Outputs from ADS
#4,566
of 37,405 outputs
Outputs of similar age
#19,814
of 95,978 outputs
Outputs of similar age from ADS
#48
of 348 outputs
Altmetric has tracked 22,888,307 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 37,405 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 81% 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 95,978 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 73% of its contemporaries.
We're also able to compare this research output to 348 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.