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Facilitating the creation of IoT applications through conditional observations in CoAP

Overview of attention for article published in EURASIP Journal on Wireless Communications and Networking, June 2013
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

patent
1 patent

Readers on

mendeley
49 Mendeley
Title
Facilitating the creation of IoT applications through conditional observations in CoAP
Published in
EURASIP Journal on Wireless Communications and Networking, June 2013
DOI 10.1186/1687-1499-2013-177
Authors

Girum Ketema Teklemariam, Jeroen Hoebeke, Ingrid Moerman, Piet Demeester

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 4%
Ireland 1 2%
Germany 1 2%
United Kingdom 1 2%
Spain 1 2%
Unknown 43 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 31%
Student > Master 12 24%
Student > Bachelor 4 8%
Lecturer 4 8%
Professor 3 6%
Other 8 16%
Unknown 3 6%
Readers by discipline Count As %
Computer Science 30 61%
Engineering 14 29%
Energy 1 2%
Unknown 4 8%
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 14 September 2022.
All research outputs
#8,535,472
of 25,374,917 outputs
Outputs from EURASIP Journal on Wireless Communications and Networking
#104
of 549 outputs
Outputs of similar age
#71,386
of 209,149 outputs
Outputs of similar age from EURASIP Journal on Wireless Communications and Networking
#2
of 9 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 549 research outputs from this source. They receive a mean Attention Score of 2.4. This one has gotten more attention than average, scoring higher than 53% of its peers.
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 209,149 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.