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Modeling Effective Interactions of Micellar Aggregates of Ionic Surfactants with the Gauss-Core Potential

Overview of attention for article published in Journal of Mathematical Chemistry, August 2004
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About this Attention Score

  • Among the highest-scoring outputs from this source (#19 of 183)

Mentioned by

wikipedia
6 Wikipedia pages

Citations

dimensions_citation
32 Dimensions

Readers on

mendeley
34 Mendeley
Title
Modeling Effective Interactions of Micellar Aggregates of Ionic Surfactants with the Gauss-Core Potential
Published in
Journal of Mathematical Chemistry, August 2004
DOI 10.1023/b:jomc.0000044526.22457.bb
Authors

Stephan A. Baeurle, Juergen Kroener

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Germany 1 3%
Unknown 32 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 21%
Student > Master 6 18%
Researcher 6 18%
Student > Bachelor 5 15%
Professor 2 6%
Other 4 12%
Unknown 4 12%
Readers by discipline Count As %
Chemistry 10 29%
Chemical Engineering 4 12%
Agricultural and Biological Sciences 4 12%
Engineering 3 9%
Biochemistry, Genetics and Molecular Biology 2 6%
Other 7 21%
Unknown 4 12%
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 13 November 2022.
All research outputs
#8,534,976
of 25,374,647 outputs
Outputs from Journal of Mathematical Chemistry
#19
of 183 outputs
Outputs of similar age
#21,552
of 61,345 outputs
Outputs of similar age from Journal of Mathematical Chemistry
#1
of 1 outputs
Altmetric has tracked 25,374,647 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 183 research outputs from this source. They receive a mean Attention Score of 2.1. This one has gotten more attention than average, scoring higher than 61% 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 61,345 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 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