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The core enabling technologies of big data analytics and context-aware computing for smart sustainable cities: a review and synthesis

Overview of attention for article published in Journal of Big Data, November 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users

Citations

dimensions_citation
78 Dimensions

Readers on

mendeley
281 Mendeley
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Title
The core enabling technologies of big data analytics and context-aware computing for smart sustainable cities: a review and synthesis
Published in
Journal of Big Data, November 2017
DOI 10.1186/s40537-017-0091-6
Authors

Simon Elias Bibri, John Krogstie

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 281 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 281 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 45 16%
Student > Ph. D. Student 41 15%
Researcher 24 9%
Student > Bachelor 22 8%
Lecturer 17 6%
Other 45 16%
Unknown 87 31%
Readers by discipline Count As %
Computer Science 80 28%
Business, Management and Accounting 28 10%
Engineering 20 7%
Social Sciences 14 5%
Design 7 2%
Other 35 12%
Unknown 97 35%
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 23 March 2019.
All research outputs
#13,057,881
of 23,007,887 outputs
Outputs from Journal of Big Data
#144
of 339 outputs
Outputs of similar age
#156,841
of 331,365 outputs
Outputs of similar age from Journal of Big Data
#8
of 14 outputs
Altmetric has tracked 23,007,887 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 339 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 56% 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 331,365 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 51% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.