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3LConOnt: a three-level ontology for context modelling in context-aware computing

Overview of attention for article published in Software and Systems Modeling, August 2017
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Mentioned by

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2 X users

Citations

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17 Dimensions

Readers on

mendeley
51 Mendeley
Title
3LConOnt: a three-level ontology for context modelling in context-aware computing
Published in
Software and Systems Modeling, August 2017
DOI 10.1007/s10270-017-0611-z
Authors

Oscar Cabrera, Xavier Franch, Jordi Marco

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

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 22%
Student > Bachelor 5 10%
Student > Doctoral Student 4 8%
Professor > Associate Professor 4 8%
Student > Master 4 8%
Other 8 16%
Unknown 15 29%
Readers by discipline Count As %
Computer Science 24 47%
Engineering 5 10%
Business, Management and Accounting 2 4%
Agricultural and Biological Sciences 2 4%
Linguistics 1 2%
Other 0 0%
Unknown 17 33%
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 04 June 2019.
All research outputs
#20,350,953
of 25,878,862 outputs
Outputs from Software and Systems Modeling
#410
of 559 outputs
Outputs of similar age
#229,519
of 313,516 outputs
Outputs of similar age from Software and Systems Modeling
#6
of 8 outputs
Altmetric has tracked 25,878,862 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 559 research outputs from this source. They receive a mean Attention Score of 2.5. This one is in the 24th percentile – i.e., 24% 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 313,516 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.