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Extending reference architecture of big data systems towards machine learning in edge computing environments

Overview of attention for article published in Journal of Big Data, April 2020
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
4 X users

Citations

dimensions_citation
26 Dimensions

Readers on

mendeley
104 Mendeley
Title
Extending reference architecture of big data systems towards machine learning in edge computing environments
Published in
Journal of Big Data, April 2020
DOI 10.1186/s40537-020-00303-y
Authors

P. Pääkkönen, D. Pakkala

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 104 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 19 18%
Student > Ph. D. Student 16 15%
Lecturer 6 6%
Student > Bachelor 6 6%
Researcher 5 5%
Other 16 15%
Unknown 36 35%
Readers by discipline Count As %
Computer Science 43 41%
Engineering 10 10%
Business, Management and Accounting 3 3%
Arts and Humanities 2 2%
Unspecified 2 2%
Other 7 7%
Unknown 37 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 08 April 2020.
All research outputs
#14,192,454
of 23,201,298 outputs
Outputs from Journal of Big Data
#179
of 347 outputs
Outputs of similar age
#199,243
of 373,116 outputs
Outputs of similar age from Journal of Big Data
#7
of 13 outputs
Altmetric has tracked 23,201,298 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 347 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.3. This one is in the 47th percentile – i.e., 47% 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 373,116 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.