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ServiceSs: An Interoperable Programming Framework for the Cloud

Overview of attention for article published in Journal of Grid Computing, September 2013
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About this Attention Score

  • Among the highest-scoring outputs from this source (#41 of 140)
  • Average Attention Score compared to outputs of the same age

Mentioned by

patent
1 patent

Citations

dimensions_citation
86 Dimensions

Readers on

mendeley
55 Mendeley
Title
ServiceSs: An Interoperable Programming Framework for the Cloud
Published in
Journal of Grid Computing, September 2013
DOI 10.1007/s10723-013-9272-5
Authors

Francesc Lordan, Enric Tejedor, Jorge Ejarque, Roger Rafanell, Javier Álvarez, Fabrizio Marozzo, Daniele Lezzi, Raül Sirvent, Domenico Talia, Rosa M. Badia

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
Brazil 1 2%
Unknown 53 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 22%
Researcher 12 22%
Student > Master 9 16%
Student > Bachelor 4 7%
Professor 3 5%
Other 8 15%
Unknown 7 13%
Readers by discipline Count As %
Computer Science 32 58%
Engineering 9 16%
Chemistry 2 4%
Agricultural and Biological Sciences 1 2%
Biochemistry, Genetics and Molecular Biology 1 2%
Other 0 0%
Unknown 10 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 29 June 2016.
All research outputs
#8,882,501
of 26,017,215 outputs
Outputs from Journal of Grid Computing
#41
of 140 outputs
Outputs of similar age
#75,498
of 217,626 outputs
Outputs of similar age from Journal of Grid Computing
#1
of 1 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 140 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 29th percentile – i.e., 29% of its peers scored the same or lower than it.
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 217,626 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them