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Methods and computational tools to study eukaryotic cell migration in vitro

Overview of attention for article published in Frontiers in Cell and Developmental Biology, June 2024
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1 X user

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1 Mendeley
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Title
Methods and computational tools to study eukaryotic cell migration in vitro
Published in
Frontiers in Cell and Developmental Biology, June 2024
DOI 10.3389/fcell.2024.1385991
Pubmed ID
Authors

Elvira Toscano, Elena Cimmino, Fabrizio A. Pennacchio, Patrizia Riccio, Alessandro Poli, Yan-Jun Liu, Paolo Maiuri, Leandra Sepe, Giovanni Paolella

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.
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 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 100%
Readers by discipline Count As %
Physics and Astronomy 1 100%
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 16 June 2024.
All research outputs
#21,296,765
of 26,151,587 outputs
Outputs from Frontiers in Cell and Developmental Biology
#5,882
of 10,613 outputs
Outputs of similar age
#128,810
of 193,990 outputs
Outputs of similar age from Frontiers in Cell and Developmental Biology
#20
of 28 outputs
Altmetric has tracked 26,151,587 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,613 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 32nd percentile – i.e., 32% 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 193,990 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.