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Software Engineering for Self-Adaptive Systems

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 (90th percentile)

Mentioned by

news
1 news outlet
wikipedia
1 Wikipedia page

Citations

dimensions_citation
191 Dimensions

Readers on

mendeley
157 Mendeley
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Title
Software Engineering for Self-Adaptive Systems
Published by
ADS, January 2009
DOI 10.1007/978-3-642-02161-9
ISBNs
978-3-64-202160-2, 978-3-64-202161-9
Editors

Betty H. C. Cheng, Rogério de Lemos, Holger Giese, Paola Inverardi, Jeff Magee

Mendeley readers

The data shown below were compiled from readership statistics for 157 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Ireland 1 <1%
Unknown 156 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 <1%
Researcher 1 <1%
Student > Master 1 <1%
Unknown 154 98%
Readers by discipline Count As %
Computer Science 1 <1%
Decision Sciences 1 <1%
Engineering 1 <1%
Unknown 154 98%

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 09 September 2016.
All research outputs
#659,988
of 8,352,366 outputs
Outputs from ADS
#837
of 16,515 outputs
Outputs of similar age
#30,395
of 263,070 outputs
Outputs of similar age from ADS
#4
of 43 outputs
Altmetric has tracked 8,352,366 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 16,515 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 94% 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 263,070 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 43 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 90% of its contemporaries.