↓ Skip to main content

Piecewise constant timed continuous PNs for the steady state estimation of stochastic PNs

Overview of attention for article published in Discrete Event Dynamic Systems, July 2011
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

policy
1 policy source

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
5 Mendeley
Title
Piecewise constant timed continuous PNs for the steady state estimation of stochastic PNs
Published in
Discrete Event Dynamic Systems, July 2011
DOI 10.1007/s10626-011-0114-y
Authors

Dimitri Lefebvre, Edouard Leclercq

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 20%
Student > Ph. D. Student 1 20%
Student > Bachelor 1 20%
Other 1 20%
Unknown 1 20%
Readers by discipline Count As %
Computer Science 2 40%
Economics, Econometrics and Finance 1 20%
Engineering 1 20%
Unknown 1 20%
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 22 May 2015.
All research outputs
#7,528,880
of 22,974,684 outputs
Outputs from Discrete Event Dynamic Systems
#1
of 29 outputs
Outputs of similar age
#42,070
of 117,501 outputs
Outputs of similar age from Discrete Event Dynamic Systems
#1
of 1 outputs
Altmetric has tracked 22,974,684 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 29 research outputs from this source. They receive a mean Attention Score of 1.4. This one scored the same or higher as 28 of them.
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 117,501 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 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