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IoT-Lite: a lightweight semantic model for the internet of things and its use with dynamic semantics

Overview of attention for article published in Personal and Ubiquitous Computing, February 2017
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Mentioned by

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1 X user
facebook
1 Facebook page

Citations

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94 Dimensions

Readers on

mendeley
158 Mendeley
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Title
IoT-Lite: a lightweight semantic model for the internet of things and its use with dynamic semantics
Published in
Personal and Ubiquitous Computing, February 2017
DOI 10.1007/s00779-017-1010-8
Authors

Maria Bermudez-Edo, Tarek Elsaleh, Payam Barnaghi, Kerry Taylor

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

Geographical breakdown

Country Count As %
Unknown 158 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 35 22%
Student > Master 28 18%
Researcher 13 8%
Student > Bachelor 11 7%
Student > Doctoral Student 9 6%
Other 21 13%
Unknown 41 26%
Readers by discipline Count As %
Computer Science 82 52%
Engineering 14 9%
Business, Management and Accounting 3 2%
Decision Sciences 2 1%
Economics, Econometrics and Finance 2 1%
Other 9 6%
Unknown 46 29%
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 22 February 2017.
All research outputs
#17,879,732
of 22,955,959 outputs
Outputs from Personal and Ubiquitous Computing
#592
of 1,192 outputs
Outputs of similar age
#224,455
of 311,194 outputs
Outputs of similar age from Personal and Ubiquitous Computing
#10
of 19 outputs
Altmetric has tracked 22,955,959 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,192 research outputs from this source. They receive a mean Attention Score of 2.8. This one is in the 26th percentile – i.e., 26% 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 311,194 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.