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Machine learning for cross-gazetteer matching of natural features

Overview of attention for article published in International Journal of Geographical Information Science, April 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#33 of 428)
  • High Attention Score compared to outputs of the same age (80th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

twitter
11 tweeters

Readers on

mendeley
8 Mendeley
Title
Machine learning for cross-gazetteer matching of natural features
Published in
International Journal of Geographical Information Science, April 2019
DOI 10.1080/13658816.2019.1599123
Authors

Elise Acheson, Michele Volpi, Ross S. Purves

Twitter Demographics

The data shown below were collected from the profiles of 11 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 75%
Student > Master 1 13%
Student > Bachelor 1 13%
Readers by discipline Count As %
Earth and Planetary Sciences 6 75%
Computer Science 1 13%
Unspecified 1 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 24 April 2019.
All research outputs
#1,579,360
of 13,047,730 outputs
Outputs from International Journal of Geographical Information Science
#33
of 428 outputs
Outputs of similar age
#45,583
of 229,049 outputs
Outputs of similar age from International Journal of Geographical Information Science
#3
of 14 outputs
Altmetric has tracked 13,047,730 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 428 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 92% 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 229,049 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 80% 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 done well, scoring higher than 78% of its contemporaries.