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OpenStreetMap quality assessment using unsupervised machine learning methods

Overview of attention for article published in Transactions in GIS, August 2020
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

twitter
10 X users

Citations

dimensions_citation
28 Dimensions

Readers on

mendeley
44 Mendeley
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Title
OpenStreetMap quality assessment using unsupervised machine learning methods
Published in
Transactions in GIS, August 2020
DOI 10.1111/tgis.12680
Authors

Kent T. Jacobs, Scott W. Mitchell

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 23%
Student > Master 8 18%
Student > Bachelor 6 14%
Researcher 4 9%
Professor > Associate Professor 3 7%
Other 5 11%
Unknown 8 18%
Readers by discipline Count As %
Computer Science 12 27%
Earth and Planetary Sciences 8 18%
Engineering 5 11%
Environmental Science 4 9%
Business, Management and Accounting 1 2%
Other 4 9%
Unknown 10 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 April 2022.
All research outputs
#5,933,110
of 23,523,017 outputs
Outputs from Transactions in GIS
#89
of 442 outputs
Outputs of similar age
#126,517
of 401,584 outputs
Outputs of similar age from Transactions in GIS
#4
of 14 outputs
Altmetric has tracked 23,523,017 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 442 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 79% 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 401,584 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 68% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.