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Maximum likelihood-based estimation of diffusion coefficient is quick and reliable method for analyzing estradiol actions on surface receptor movements

Overview of attention for article published in Frontiers in Neuroinformatics, March 2023
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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2 X users

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3 Mendeley
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Title
Maximum likelihood-based estimation of diffusion coefficient is quick and reliable method for analyzing estradiol actions on surface receptor movements
Published in
Frontiers in Neuroinformatics, March 2023
DOI 10.3389/fninf.2023.1005936
Pubmed ID
Authors

Geza Makkai, Istvan M. Abraham, Klaudia Barabas, Soma Godo, David Ernszt, Tamas Kovacs, Gergely Kovacs, Szilard Szocs, Tibor Z. Janosi

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 67%
Unknown 1 33%
Readers by discipline Count As %
Agricultural and Biological Sciences 1 33%
Physics and Astronomy 1 33%
Unknown 1 33%
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 21 March 2023.
All research outputs
#19,670,596
of 25,046,944 outputs
Outputs from Frontiers in Neuroinformatics
#637
of 816 outputs
Outputs of similar age
#290,149
of 412,864 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#15
of 22 outputs
Altmetric has tracked 25,046,944 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 816 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one is in the 17th percentile – i.e., 17% 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 412,864 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.