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Coordination Models and Languages

Overview of attention for book
Attention for Chapter 7: Safe and Efficient Data Sharing for Message-Passing Concurrency
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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)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

news
1 news outlet

Readers on

mendeley
7 Mendeley
citeulike
1 CiteULike
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Chapter title
Safe and Efficient Data Sharing for Message-Passing Concurrency
Chapter number 7
Book title
Coordination Models and Languages
Published in
Lecture notes in computer science, January 2014
DOI 10.1007/978-3-662-43376-8_7
Book ISBNs
978-3-66-243375-1, 978-3-66-243376-8
Authors

Benjamin Morandi, Sebastian Nanz, Bertrand Meyer

Editors

Eva Kühn, Rosario Pugliese

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 29%
Professor 1 14%
Other 1 14%
Student > Master 1 14%
Researcher 1 14%
Other 0 0%
Unknown 1 14%
Readers by discipline Count As %
Computer Science 5 71%
Engineering 1 14%
Unknown 1 14%
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 17 March 2016.
All research outputs
#4,185,991
of 22,856,968 outputs
Outputs from Lecture notes in computer science
#989
of 8,127 outputs
Outputs of similar age
#50,023
of 305,616 outputs
Outputs of similar age from Lecture notes in computer science
#52
of 280 outputs
Altmetric has tracked 22,856,968 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 8,127 research outputs from this source. They receive a mean Attention Score of 5.0. 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 305,616 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 280 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.