↓ Skip to main content

Data-driven model reduction of agent-based systems using the Koopman generator

Overview of attention for article published in PLOS ONE, May 2021
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Readers on

mendeley
20 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
Data-driven model reduction of agent-based systems using the Koopman generator
Published in
PLOS ONE, May 2021
DOI 10.1371/journal.pone.0250970
Pubmed ID
Authors

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 5 25%
Researcher 5 25%
Other 1 5%
Student > Bachelor 1 5%
Professor 1 5%
Other 2 10%
Unknown 5 25%
Readers by discipline
Readers by discipline Count As %
Engineering 4 20%
Mathematics 3 15%
Physics and Astronomy 2 10%
Chemical Engineering 1 5%
Biochemistry, Genetics and Molecular Biology 1 5%
Other 2 10%
Unknown 7 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 12 May 2021.
All research outputs
#16,733,516
of 25,387,668 outputs
Outputs from PLOS ONE
#149,435
of 220,982 outputs
Outputs of similar age
#264,209
of 454,209 outputs
Outputs of similar age from PLOS ONE
#1,886
of 2,922 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 220,982 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.7. This one is in the 29th percentile – i.e., 29% 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 454,209 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2,922 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.