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Testing Heaps’ law for cities using administrative and gridded population data sets

Overview of attention for article published in EPJ Data Science, July 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
31 X users

Citations

dimensions_citation
19 Dimensions

Readers on

mendeley
9 Mendeley
Title
Testing Heaps’ law for cities using administrative and gridded population data sets
Published in
EPJ Data Science, July 2019
DOI 10.1140/epjds/s13688-019-0203-y
Authors

Filippo Simini, Charlotte James

X Demographics

X Demographics

The data shown below were collected from the profiles of 31 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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 22%
Student > Doctoral Student 1 11%
Professor 1 11%
Student > Bachelor 1 11%
Student > Master 1 11%
Other 1 11%
Unknown 2 22%
Readers by discipline Count As %
Computer Science 2 22%
Business, Management and Accounting 1 11%
Earth and Planetary Sciences 1 11%
Social Sciences 1 11%
Design 1 11%
Other 0 0%
Unknown 3 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 March 2020.
All research outputs
#1,872,422
of 23,151,828 outputs
Outputs from EPJ Data Science
#171
of 379 outputs
Outputs of similar age
#41,812
of 347,684 outputs
Outputs of similar age from EPJ Data Science
#4
of 8 outputs
Altmetric has tracked 23,151,828 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 379 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 44.0. This one has gotten more attention than average, scoring higher than 54% 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 347,684 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.