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One Size Does Not Fit All: Querying Web Polystores

Overview of attention for article published in IEEE Access, January 2019
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
34 Mendeley
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Title
One Size Does Not Fit All: Querying Web Polystores
Published in
IEEE Access, January 2019
DOI 10.1109/access.2018.2888601
Authors

Yasar Khan, Antoine Zimmermann, Alokkumar Jha, Vijay Gadepally, Mathieu D’Aquin, Ratnesh Sahay

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 18%
Student > Ph. D. Student 5 15%
Student > Doctoral Student 2 6%
Student > Bachelor 2 6%
Student > Postgraduate 2 6%
Other 5 15%
Unknown 12 35%
Readers by discipline Count As %
Computer Science 14 41%
Engineering 2 6%
Unspecified 1 3%
Business, Management and Accounting 1 3%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 2 6%
Unknown 13 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 21 July 2019.
All research outputs
#13,636,821
of 23,124,001 outputs
Outputs from IEEE Access
#3,865
of 7,257 outputs
Outputs of similar age
#216,337
of 438,271 outputs
Outputs of similar age from IEEE Access
#1,028
of 1,549 outputs
Altmetric has tracked 23,124,001 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,257 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 45th percentile – i.e., 45% 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 438,271 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,549 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.