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Hierarchical data fusion for Smart Healthcare

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

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

patent
1 patent

Citations

dimensions_citation
99 Dimensions

Readers on

mendeley
200 Mendeley
Title
Hierarchical data fusion for Smart Healthcare
Published in
Journal of Big Data, February 2019
DOI 10.1186/s40537-019-0183-6
Authors

Rustem Dautov, Salvatore Distefano, Rajkumaar Buyya

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 200 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 200 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 35 18%
Student > Ph. D. Student 29 14%
Researcher 18 9%
Student > Bachelor 14 7%
Lecturer 10 5%
Other 29 14%
Unknown 65 33%
Readers by discipline Count As %
Engineering 47 24%
Computer Science 44 22%
Business, Management and Accounting 15 8%
Medicine and Dentistry 5 3%
Agricultural and Biological Sciences 3 2%
Other 17 9%
Unknown 69 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 01 March 2022.
All research outputs
#7,616,848
of 23,221,875 outputs
Outputs from Journal of Big Data
#127
of 348 outputs
Outputs of similar age
#142,936
of 353,236 outputs
Outputs of similar age from Journal of Big Data
#11
of 21 outputs
Altmetric has tracked 23,221,875 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 348 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one has gotten more attention than average, scoring higher than 59% 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 353,236 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 54% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.