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Challenges and Research Directions in Agent-Oriented Software Engineering

Overview of attention for article published in Autonomous Agents and Multi-Agent Systems, November 2004
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About this Attention Score

  • Among the highest-scoring outputs from this source (#44 of 254)

Mentioned by

wikipedia
3 Wikipedia pages

Citations

dimensions_citation
165 Dimensions

Readers on

mendeley
122 Mendeley
citeulike
3 CiteULike
Title
Challenges and Research Directions in Agent-Oriented Software Engineering
Published in
Autonomous Agents and Multi-Agent Systems, November 2004
DOI 10.1023/b:agnt.0000038028.66672.1e
Authors

Franco Zambonelli, Andrea Omicini

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Turkey 2 2%
Brazil 2 2%
Australia 2 2%
Germany 1 <1%
Malaysia 1 <1%
Austria 1 <1%
France 1 <1%
United Arab Emirates 1 <1%
Other 4 3%
Unknown 104 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 44 36%
Student > Master 19 16%
Researcher 14 11%
Student > Bachelor 7 6%
Professor 6 5%
Other 19 16%
Unknown 13 11%
Readers by discipline Count As %
Computer Science 78 64%
Engineering 23 19%
Business, Management and Accounting 3 2%
Decision Sciences 2 2%
Unspecified 1 <1%
Other 2 2%
Unknown 13 11%
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 23 July 2019.
All research outputs
#8,534,528
of 25,373,627 outputs
Outputs from Autonomous Agents and Multi-Agent Systems
#44
of 254 outputs
Outputs of similar age
#24,616
of 74,813 outputs
Outputs of similar age from Autonomous Agents and Multi-Agent Systems
#1
of 2 outputs
Altmetric has tracked 25,373,627 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 254 research outputs from this source. They receive a mean Attention Score of 2.8. This one has gotten more attention than average, scoring higher than 67% 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 74,813 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them