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Towards an Internet of Agents model based on Linked Open Data approach

Overview of attention for article published in Autonomous Agents and Multi-Agent Systems, December 2018
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Mentioned by

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1 X user

Citations

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11 Dimensions

Readers on

mendeley
47 Mendeley
Title
Towards an Internet of Agents model based on Linked Open Data approach
Published in
Autonomous Agents and Multi-Agent Systems, December 2018
DOI 10.1007/s10458-018-9399-7
Authors

Pablo Pico-Valencia, Juan A. Holgado-Terriza, J. A. Senso

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

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 21%
Student > Master 9 19%
Professor 6 13%
Student > Doctoral Student 3 6%
Student > Bachelor 3 6%
Other 6 13%
Unknown 10 21%
Readers by discipline Count As %
Computer Science 24 51%
Engineering 6 13%
Social Sciences 2 4%
Agricultural and Biological Sciences 1 2%
Energy 1 2%
Other 3 6%
Unknown 10 21%
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 18 March 2019.
All research outputs
#16,069,695
of 23,849,058 outputs
Outputs from Autonomous Agents and Multi-Agent Systems
#133
of 246 outputs
Outputs of similar age
#268,470
of 440,042 outputs
Outputs of similar age from Autonomous Agents and Multi-Agent Systems
#3
of 3 outputs
Altmetric has tracked 23,849,058 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 246 research outputs from this source. They receive a mean Attention Score of 2.6. This one is in the 31st percentile – i.e., 31% 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 440,042 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.