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FLAP: a framework for linking free-text addresses to the Ordnance Survey Unique Property Reference Number database

Overview of attention for article published in Frontiers in Digital Health, November 2023
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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 (78th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

twitter
8 X users

Readers on

mendeley
13 Mendeley
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Title
FLAP: a framework for linking free-text addresses to the Ordnance Survey Unique Property Reference Number database
Published in
Frontiers in Digital Health, November 2023
DOI 10.3389/fdgth.2023.1186208
Pubmed ID
Authors

Huayu Zhang, Arlene Casey, Imane Guellil, Víctor Suárez-Paniagua, Clare MacRae, Charis Marwick, Honghan Wu, Bruce Guthrie, Beatrice Alex

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 54%
Unspecified 4 31%
Lecturer 1 8%
Unknown 1 8%
Readers by discipline Count As %
Social Sciences 7 54%
Unspecified 4 31%
Computer Science 1 8%
Unknown 1 8%
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 04 January 2024.
All research outputs
#5,235,811
of 25,101,232 outputs
Outputs from Frontiers in Digital Health
#197
of 776 outputs
Outputs of similar age
#62,280
of 286,021 outputs
Outputs of similar age from Frontiers in Digital Health
#4
of 43 outputs
Altmetric has tracked 25,101,232 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 776 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. This one has gotten more attention than average, scoring higher than 74% 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 286,021 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 78% of its contemporaries.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.