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Artificial Intelligence and Mobile Services – AIMS 2019

Overview of attention for book
Attention for Chapter 8: Cognitively-Inspired Agent-Based Service Composition for Mobile and Pervasive Computing
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
5 X users

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
11 Mendeley
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Chapter title
Cognitively-Inspired Agent-Based Service Composition for Mobile and Pervasive Computing
Chapter number 8
Book title
Artificial Intelligence and Mobile Services – AIMS 2019
Published in
arXiv, June 2019
DOI 10.1007/978-3-030-23367-9_8
Book ISBNs
978-3-03-023366-2, 978-3-03-023367-9
Authors

Oscar J. Romero, Romero, Oscar J.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 27%
Lecturer 1 9%
Librarian 1 9%
Student > Doctoral Student 1 9%
Professor > Associate Professor 1 9%
Other 0 0%
Unknown 4 36%
Readers by discipline Count As %
Computer Science 5 45%
Pharmacology, Toxicology and Pharmaceutical Science 1 9%
Medicine and Dentistry 1 9%
Unknown 4 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 31 May 2019.
All research outputs
#15,541,448
of 23,858,780 outputs
Outputs from arXiv
#347,032
of 993,285 outputs
Outputs of similar age
#207,331
of 352,923 outputs
Outputs of similar age from arXiv
#10,112
of 28,718 outputs
Altmetric has tracked 23,858,780 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 993,285 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 59% 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 352,923 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28,718 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.