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CityJSON: a compact and easy-to-use encoding of the CityGML data model

Overview of attention for article published in Open Geospatial Data, Software and Standards, June 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 (88th percentile)

Mentioned by

twitter
22 tweeters

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
11 Mendeley
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Title
CityJSON: a compact and easy-to-use encoding of the CityGML data model
Published in
Open Geospatial Data, Software and Standards, June 2019
DOI 10.1186/s40965-019-0064-0
Authors

Hugo Ledoux, Ken Arroyo Ohori, Kavisha Kumar, Balázs Dukai, Anna Labetski, Stelios Vitalis

Twitter Demographics

The data shown below were collected from the profiles of 22 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 36%
Student > Ph. D. Student 2 18%
Student > Bachelor 1 9%
Lecturer 1 9%
Unspecified 1 9%
Other 2 18%
Readers by discipline Count As %
Engineering 3 27%
Environmental Science 2 18%
Earth and Planetary Sciences 2 18%
Computer Science 1 9%
Mathematics 1 9%
Other 2 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 27 July 2019.
All research outputs
#883,466
of 13,693,516 outputs
Outputs from Open Geospatial Data, Software and Standards
#3
of 39 outputs
Outputs of similar age
#29,853
of 254,165 outputs
Outputs of similar age from Open Geospatial Data, Software and Standards
#1
of 1 outputs
Altmetric has tracked 13,693,516 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 39 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one scored the same or higher as 36 of them.
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 254,165 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 88% of its contemporaries.
We're also able to compare this research output to 1 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