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Declarative Agent Languages and Technologies X

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
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
2 news outlets

Readers on

mendeley
25 Mendeley
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Title
Declarative Agent Languages and Technologies X
Published by
Lecture notes in computer science, January 2013
DOI 10.1007/978-3-642-37890-4
ISBNs
978-3-64-237889-8, 978-3-64-237890-4
Authors

Matteo Baldoni, Louise Dennis, Viviana Mascardi, Wamberto Vasconcelos

Editors

Baldoni, Matteo, Dennis, Louise, Mascardi, Viviana, Vasconcelos, Wamberto

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Ireland 1 4%
Unknown 24 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 4%
Unknown 24 96%
Readers by discipline Count As %
Computer Science 1 4%
Unknown 24 96%

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 November 2018.
All research outputs
#936,996
of 12,892,079 outputs
Outputs from Lecture notes in computer science
#265
of 7,338 outputs
Outputs of similar age
#29,001
of 262,254 outputs
Outputs of similar age from Lecture notes in computer science
#6
of 78 outputs
Altmetric has tracked 12,892,079 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,338 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done particularly well, scoring higher than 96% 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 262,254 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 88% of its contemporaries.
We're also able to compare this research output to 78 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.