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Evolving demographics: a dynamic clustering approach to analyze residential segregation in Berlin

Overview of attention for article published in EPJ Data Science, March 2024
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1 X user

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mendeley
2 Mendeley
Title
Evolving demographics: a dynamic clustering approach to analyze residential segregation in Berlin
Published in
EPJ Data Science, March 2024
DOI 10.1140/epjds/s13688-024-00455-4
Authors

Víctor H. Masías H., Julia Stier, Pilar Navarro R., Mauricio A. Valle, Sigifredo Laengle, Augusto A. Vargas, Fernando A. Crespo R.

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%
Lecturer 1 50%
Readers by discipline Count As %
Unspecified 1 50%
Environmental Science 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 15 March 2024.
All research outputs
#22,861,805
of 25,490,562 outputs
Outputs from EPJ Data Science
#446
of 446 outputs
Outputs of similar age
#133,018
of 166,032 outputs
Outputs of similar age from EPJ Data Science
#12
of 12 outputs
Altmetric has tracked 25,490,562 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 446 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.4. This one is in the 1st percentile – i.e., 1% 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 166,032 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.