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A new Hierarchical Agent Protocol Notation

Overview of attention for article published in Autonomous Agents and Multi-Agent Systems, July 2017
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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 (75th percentile)

Mentioned by

twitter
4 X users

Citations

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9 Dimensions

Readers on

mendeley
16 Mendeley
Title
A new Hierarchical Agent Protocol Notation
Published in
Autonomous Agents and Multi-Agent Systems, July 2017
DOI 10.1007/s10458-017-9373-9
Authors

Michael Winikoff, Nitin Yadav, Lin Padgham

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 19%
Student > Doctoral Student 2 13%
Professor > Associate Professor 2 13%
Student > Master 2 13%
Professor 1 6%
Other 2 13%
Unknown 4 25%
Readers by discipline Count As %
Computer Science 6 38%
Engineering 5 31%
Environmental Science 1 6%
Unknown 4 25%
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 27 September 2022.
All research outputs
#14,233,806
of 24,513,158 outputs
Outputs from Autonomous Agents and Multi-Agent Systems
#86
of 249 outputs
Outputs of similar age
#157,046
of 316,704 outputs
Outputs of similar age from Autonomous Agents and Multi-Agent Systems
#3
of 8 outputs
Altmetric has tracked 24,513,158 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 249 research outputs from this source. They receive a mean Attention Score of 2.6. This one has gotten more attention than average, scoring higher than 61% 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 316,704 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% 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 5 of them.