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Semantic connection set-based massive RDF data query processing in Spark environment

Overview of attention for article published in EURASIP Journal on Wireless Communications and Networking, November 2019
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

twitter
5 X users

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
8 Mendeley
Title
Semantic connection set-based massive RDF data query processing in Spark environment
Published in
EURASIP Journal on Wireless Communications and Networking, November 2019
DOI 10.1186/s13638-019-1588-9
Authors

Jiuyun Xu, Chao Zhang

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Professor 3 38%
Student > Ph. D. Student 2 25%
Other 2 25%
Student > Doctoral Student 1 13%
Readers by discipline Count As %
Computer Science 4 50%
Social Sciences 1 13%
Engineering 1 13%
Unknown 2 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 14 December 2019.
All research outputs
#7,854,022
of 25,387,668 outputs
Outputs from EURASIP Journal on Wireless Communications and Networking
#89
of 549 outputs
Outputs of similar age
#160,182
of 474,019 outputs
Outputs of similar age from EURASIP Journal on Wireless Communications and Networking
#1
of 7 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 549 research outputs from this source. They receive a mean Attention Score of 2.4. This one has done well, scoring higher than 83% 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 474,019 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 65% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them