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Selection of top-K influential users based on radius-neighborhood degree, multi-hops distance and selection threshold

Overview of attention for article published in Journal of Big Data, August 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

patent
1 patent

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
12 Mendeley
Title
Selection of top-K influential users based on radius-neighborhood degree, multi-hops distance and selection threshold
Published in
Journal of Big Data, August 2018
DOI 10.1186/s40537-018-0137-4
Authors

Mohammed Alshahrani, Fuxi Zhu, Lin Zheng, Soufiana Mekouar, Sheng Huang

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 25%
Librarian 1 8%
Student > Bachelor 1 8%
Student > Doctoral Student 1 8%
Student > Master 1 8%
Other 1 8%
Unknown 4 33%
Readers by discipline Count As %
Computer Science 4 33%
Business, Management and Accounting 1 8%
Mathematics 1 8%
Agricultural and Biological Sciences 1 8%
Decision Sciences 1 8%
Other 0 0%
Unknown 4 33%
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 16 August 2022.
All research outputs
#7,576,061
of 23,103,436 outputs
Outputs from Journal of Big Data
#127
of 344 outputs
Outputs of similar age
#131,740
of 334,956 outputs
Outputs of similar age from Journal of Big Data
#3
of 8 outputs
Altmetric has tracked 23,103,436 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 344 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 334,956 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 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.