↓ Skip to main content

Software Engineering for Self-Adaptive Systems

Overview of attention for book
Overall attention for this book and its chapters
Altmetric Badge

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 (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
1 news outlet
wikipedia
1 Wikipedia page

Citations

dimensions_citation
220 Dimensions

Readers on

mendeley
157 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
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

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

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
#2,291,656
of 22,880,230 outputs
Outputs from ADS
#1,390
of 37,396 outputs
Outputs of similar age
#10,703
of 169,456 outputs
Outputs of similar age from ADS
#49
of 901 outputs
Altmetric has tracked 22,880,230 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 37,396 research outputs from this source. They receive a mean Attention Score of 4.6. 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 169,456 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 901 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 94% of its contemporaries.