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The conceptual schema in geospatial data standard design with application to GroundWaterML2

Overview of attention for article published in Open Geospatial Data, Software and Standards, November 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)

Mentioned by

policy
1 policy source

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
9 Mendeley
Title
The conceptual schema in geospatial data standard design with application to GroundWaterML2
Published in
Open Geospatial Data, Software and Standards, November 2018
DOI 10.1186/s40965-018-0058-3
Authors

Boyan Brodaric, Eric Boisvert, Peter Dahlhaus, Sylvain Grellet, Alexander Kmoch, François Létourneau, Jessica Lucido, Bruce Simons, Bernhard Wagner

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Other 2 22%
Student > Doctoral Student 2 22%
Researcher 2 22%
Student > Master 1 11%
Student > Bachelor 1 11%
Other 0 0%
Unknown 1 11%
Readers by discipline Count As %
Environmental Science 2 22%
Engineering 2 22%
Earth and Planetary Sciences 1 11%
Computer Science 1 11%
Unknown 3 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 01 January 2020.
All research outputs
#7,587,641
of 23,136,540 outputs
Outputs from Open Geospatial Data, Software and Standards
#27
of 46 outputs
Outputs of similar age
#155,605
of 437,668 outputs
Outputs of similar age from Open Geospatial Data, Software and Standards
#1
of 2 outputs
Altmetric has tracked 23,136,540 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 46 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.5. This one scored the same or higher as 19 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 437,668 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 55% of its contemporaries.
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