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Using partial evaluation in holistic subgraph search

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

twitter
1 X user

Citations

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2 Dimensions

Readers on

mendeley
10 Mendeley
Title
Using partial evaluation in holistic subgraph search
Published in
Frontiers of Computer Science, September 2018
DOI 10.1007/s11704-016-5522-6
Authors

Peng Peng, Lei Zou, Zhenqin Du, Dongyan Zhao

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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 30%
Student > Master 2 20%
Student > Bachelor 1 10%
Lecturer 1 10%
Professor 1 10%
Other 1 10%
Unknown 1 10%
Readers by discipline Count As %
Computer Science 6 60%
Engineering 2 20%
Unknown 2 20%
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 18 October 2018.
All research outputs
#18,652,089
of 23,106,934 outputs
Outputs from Frontiers of Computer Science
#188
of 465 outputs
Outputs of similar age
#262,077
of 341,707 outputs
Outputs of similar age from Frontiers of Computer Science
#3
of 10 outputs
Altmetric has tracked 23,106,934 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 341,707 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 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.