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Adaptive network diagram constructions for representing big data event streams on monitoring dashboards

Overview of attention for article published in Journal of Big Data, March 2019
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

twitter
3 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
25 Mendeley
Title
Adaptive network diagram constructions for representing big data event streams on monitoring dashboards
Published in
Journal of Big Data, March 2019
DOI 10.1186/s40537-019-0187-2
Authors

Alexander V. Mantzaris, Thomas G. Walker, Cameron E. Taylor, Dustin Ehling

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 24%
Student > Ph. D. Student 4 16%
Student > Doctoral Student 2 8%
Lecturer 1 4%
Librarian 1 4%
Other 1 4%
Unknown 10 40%
Readers by discipline Count As %
Computer Science 7 28%
Engineering 3 12%
Business, Management and Accounting 2 8%
Agricultural and Biological Sciences 1 4%
Unspecified 1 4%
Other 0 0%
Unknown 11 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 23 January 2021.
All research outputs
#6,095,936
of 23,132,033 outputs
Outputs from Journal of Big Data
#99
of 346 outputs
Outputs of similar age
#115,332
of 352,354 outputs
Outputs of similar age from Journal of Big Data
#6
of 20 outputs
Altmetric has tracked 23,132,033 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 346 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.3. This one has gotten more attention than average, scoring higher than 71% 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 352,354 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 20 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 70% of its contemporaries.