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Analysis of schema structures in the Linked Open Data graph based on unique subject URIs, pay-level domains, and vocabulary usage

Overview of attention for article published in Distributed and Parallel Databases, February 2014
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Mentioned by

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1 X user

Citations

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8 Dimensions

Readers on

mendeley
25 Mendeley
Title
Analysis of schema structures in the Linked Open Data graph based on unique subject URIs, pay-level domains, and vocabulary usage
Published in
Distributed and Parallel Databases, February 2014
DOI 10.1007/s10619-014-7143-0
Authors

Thomas Gottron, Malte Knauf, Ansgar Scherp

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

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 32%
Student > Master 6 24%
Student > Doctoral Student 4 16%
Other 2 8%
Researcher 1 4%
Other 1 4%
Unknown 3 12%
Readers by discipline Count As %
Computer Science 13 52%
Engineering 4 16%
Business, Management and Accounting 1 4%
Medicine and Dentistry 1 4%
Social Sciences 1 4%
Other 0 0%
Unknown 5 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 09 March 2014.
All research outputs
#16,172,769
of 23,854,458 outputs
Outputs from Distributed and Parallel Databases
#105
of 128 outputs
Outputs of similar age
#199,551
of 319,995 outputs
Outputs of similar age from Distributed and Parallel Databases
#2
of 2 outputs
Altmetric has tracked 23,854,458 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 128 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 5th percentile – i.e., 5% 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 319,995 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.