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Using Administrative Data to Count Local Populations

Overview of attention for article published in Applied Spatial Analysis and Policy, April 2011
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Mentioned by

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1 X user

Citations

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14 Dimensions

Readers on

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21 Mendeley
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Title
Using Administrative Data to Count Local Populations
Published in
Applied Spatial Analysis and Policy, April 2011
DOI 10.1007/s12061-011-9063-y
Authors

Gillian Harper, Les Mayhew

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 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 5%
Unknown 20 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 33%
Researcher 7 33%
Student > Master 3 14%
Student > Doctoral Student 1 5%
Other 1 5%
Other 0 0%
Unknown 2 10%
Readers by discipline Count As %
Social Sciences 9 43%
Environmental Science 3 14%
Economics, Econometrics and Finance 2 10%
Nursing and Health Professions 1 5%
Computer Science 1 5%
Other 2 10%
Unknown 3 14%
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 2016.
All research outputs
#20,326,948
of 22,870,727 outputs
Outputs from Applied Spatial Analysis and Policy
#160
of 238 outputs
Outputs of similar age
#102,192
of 108,997 outputs
Outputs of similar age from Applied Spatial Analysis and Policy
#1
of 2 outputs
Altmetric has tracked 22,870,727 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 238 research outputs from this source. They receive a mean Attention Score of 3.7. 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 108,997 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 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