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A multicriteria optimization framework for the definition of the spatial granularity of urban social media analytics

Overview of attention for article published in International Journal of Geographical Information Science, June 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

twitter
8 X users

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
42 Mendeley
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Title
A multicriteria optimization framework for the definition of the spatial granularity of urban social media analytics
Published in
International Journal of Geographical Information Science, June 2020
DOI 10.1080/13658816.2020.1755039
Authors

Sidgley Camargo de Andrade, Camilo Restrepo-Estrada, Luiz Henrique Nunes, Carlos Augusto Morales Rodriguez, Júlio Cézar Estrella, Alexandre Cláudio Botazzo Delbem, João Porto de Albuquerque

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users 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 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 12%
Professor > Associate Professor 3 7%
Student > Master 3 7%
Professor 3 7%
Student > Bachelor 3 7%
Other 8 19%
Unknown 17 40%
Readers by discipline Count As %
Social Sciences 5 12%
Earth and Planetary Sciences 5 12%
Environmental Science 3 7%
Business, Management and Accounting 2 5%
Computer Science 2 5%
Other 6 14%
Unknown 19 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 10 February 2022.
All research outputs
#5,363,297
of 25,457,858 outputs
Outputs from International Journal of Geographical Information Science
#133
of 876 outputs
Outputs of similar age
#129,157
of 434,374 outputs
Outputs of similar age from International Journal of Geographical Information Science
#6
of 21 outputs
Altmetric has tracked 25,457,858 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 876 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done well, scoring higher than 84% 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 434,374 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.