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Automatic query rewriting schemes for multitenant SaaS applications

Overview of attention for article published in Automated Software Engineering, March 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)

Mentioned by

patent
1 patent

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
8 Mendeley
Title
Automatic query rewriting schemes for multitenant SaaS applications
Published in
Automated Software Engineering, March 2015
DOI 10.1007/s10515-015-0178-2
Authors

Chun-Feng Liao, Kung Chen, Deik Hoong Tan, Jiu-Jye Chen

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 %
Student > Master 4 50%
Student > Doctoral Student 1 13%
Lecturer 1 13%
Student > Bachelor 1 13%
Student > Postgraduate 1 13%
Other 0 0%
Readers by discipline Count As %
Computer Science 6 75%
Engineering 1 13%
Unknown 1 13%
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 May 2018.
All research outputs
#7,577,096
of 23,106,934 outputs
Outputs from Automated Software Engineering
#17
of 89 outputs
Outputs of similar age
#90,553
of 263,496 outputs
Outputs of similar age from Automated Software Engineering
#1
of 1 outputs
Altmetric has tracked 23,106,934 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 89 research outputs from this source. They receive a mean Attention Score of 2.7. This one is in the 40th percentile – i.e., 40% 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 263,496 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 55% of its contemporaries.
We're also able to compare this research output to 1 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