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Evaluation of distributed stream processing frameworks for IoT applications in Smart Cities

Overview of attention for article published in Journal of Big Data, June 2019
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  • Average Attention Score compared to outputs of the same age

Mentioned by

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2 X users

Citations

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85 Dimensions

Readers on

mendeley
135 Mendeley
Title
Evaluation of distributed stream processing frameworks for IoT applications in Smart Cities
Published in
Journal of Big Data, June 2019
DOI 10.1186/s40537-019-0215-2
Authors

Hamid Nasiri, Saeed Nasehi, Maziar Goudarzi

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 135 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 135 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 25 19%
Student > Ph. D. Student 15 11%
Student > Bachelor 12 9%
Student > Doctoral Student 8 6%
Researcher 7 5%
Other 23 17%
Unknown 45 33%
Readers by discipline Count As %
Computer Science 50 37%
Engineering 16 12%
Business, Management and Accounting 5 4%
Social Sciences 3 2%
Biochemistry, Genetics and Molecular Biology 2 1%
Other 10 7%
Unknown 49 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 17 December 2020.
All research outputs
#16,387,941
of 25,872,466 outputs
Outputs from Journal of Big Data
#220
of 399 outputs
Outputs of similar age
#211,378
of 370,454 outputs
Outputs of similar age from Journal of Big Data
#15
of 20 outputs
Altmetric has tracked 25,872,466 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 399 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one is in the 41st percentile – i.e., 41% 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 370,454 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
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 is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.