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Engineering commitment-based business protocols with the 2CL methodology

Overview of attention for article published in Autonomous Agents and Multi-Agent Systems, August 2013
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Mentioned by

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1 X user

Citations

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14 Dimensions

Readers on

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24 Mendeley
Title
Engineering commitment-based business protocols with the 2CL methodology
Published in
Autonomous Agents and Multi-Agent Systems, August 2013
DOI 10.1007/s10458-013-9233-1
Authors

Matteo Baldoni, Cristina Baroglio, Elisa Marengo, Viviana Patti, Federico Capuzzimati

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

Geographical breakdown

Country Count As %
Germany 1 4%
Unknown 23 96%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 17%
Researcher 4 17%
Student > Master 4 17%
Student > Doctoral Student 2 8%
Student > Ph. D. Student 2 8%
Other 4 17%
Unknown 4 17%
Readers by discipline Count As %
Computer Science 11 46%
Engineering 3 13%
Business, Management and Accounting 2 8%
Arts and Humanities 1 4%
Economics, Econometrics and Finance 1 4%
Other 1 4%
Unknown 5 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 May 2014.
All research outputs
#19,246,640
of 23,849,058 outputs
Outputs from Autonomous Agents and Multi-Agent Systems
#169
of 246 outputs
Outputs of similar age
#149,037
of 198,667 outputs
Outputs of similar age from Autonomous Agents and Multi-Agent Systems
#2
of 2 outputs
Altmetric has tracked 23,849,058 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% 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 10th percentile – i.e., 10% 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 198,667 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% 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.