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Comparison of discrete- and continuous-time models for scheduling waste wood processing facilities

Overview of attention for article published in Central European Journal of Operations Research, March 2023
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1 X user
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1 Facebook page

Citations

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1 Dimensions

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2 Mendeley
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Title
Comparison of discrete- and continuous-time models for scheduling waste wood processing facilities
Published in
Central European Journal of Operations Research, March 2023
DOI 10.1007/s10100-023-00852-6
Authors

Olivér Ősz, Balázs Dávid, Máté Hegyháti

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

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 50%
Unknown 1 50%
Readers by discipline Count As %
Unspecified 1 50%
Unknown 1 50%
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 07 April 2023.
All research outputs
#18,753,159
of 23,906,448 outputs
Outputs from Central European Journal of Operations Research
#55
of 86 outputs
Outputs of similar age
#277,327
of 400,285 outputs
Outputs of similar age from Central European Journal of Operations Research
#1
of 1 outputs
Altmetric has tracked 23,906,448 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 86 research outputs from this source. They receive a mean Attention Score of 2.3. This one is in the 34th percentile – i.e., 34% 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 400,285 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% 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