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A communication-reduced and computation-balanced framework for fast graph computation

Overview of attention for article published in Frontiers of Computer Science, August 2018
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Mentioned by

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1 X user

Citations

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19 Dimensions

Readers on

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13 Mendeley
Title
A communication-reduced and computation-balanced framework for fast graph computation
Published in
Frontiers of Computer Science, August 2018
DOI 10.1007/s11704-018-6400-1
Authors

Yongli Cheng, Fang Wang, Hong Jiang, Yu Hua, Dan Feng, Lingling Zhang, Jun Zhou

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 23%
Student > Doctoral Student 2 15%
Student > Master 2 15%
Professor 1 8%
Lecturer 1 8%
Other 2 15%
Unknown 2 15%
Readers by discipline Count As %
Computer Science 10 77%
Engineering 1 8%
Unknown 2 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 11 October 2018.
All research outputs
#18,651,503
of 23,106,390 outputs
Outputs from Frontiers of Computer Science
#188
of 465 outputs
Outputs of similar age
#254,603
of 331,139 outputs
Outputs of similar age from Frontiers of Computer Science
#2
of 12 outputs
Altmetric has tracked 23,106,390 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 465 research outputs from this source. They receive a mean Attention Score of 1.4. This one is in the 36th percentile – i.e., 36% 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 331,139 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.