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Quantifying the ambient population using hourly population footfall data and an agent-based model of daily mobility

Overview of attention for article published in GeoInformatica, April 2019
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 X users

Citations

dimensions_citation
21 Dimensions

Readers on

mendeley
53 Mendeley
Title
Quantifying the ambient population using hourly population footfall data and an agent-based model of daily mobility
Published in
GeoInformatica, April 2019
DOI 10.1007/s10707-019-00346-1
Pubmed ID
Authors

Tomas Crols, Nick Malleson

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 11%
Student > Ph. D. Student 6 11%
Student > Doctoral Student 4 8%
Professor > Associate Professor 4 8%
Researcher 4 8%
Other 6 11%
Unknown 23 43%
Readers by discipline Count As %
Computer Science 8 15%
Environmental Science 4 8%
Social Sciences 4 8%
Unspecified 1 2%
Business, Management and Accounting 1 2%
Other 7 13%
Unknown 28 53%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 12 June 2019.
All research outputs
#14,915,104
of 23,144,579 outputs
Outputs from GeoInformatica
#74
of 103 outputs
Outputs of similar age
#203,209
of 349,298 outputs
Outputs of similar age from GeoInformatica
#1
of 2 outputs
Altmetric has tracked 23,144,579 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 103 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 28th percentile – i.e., 28% 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 349,298 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 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