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Automating the selection of standard parallels for conic map projections

Overview of attention for article published in Computers & Geosciences, May 2016
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
6 X users

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
10 Mendeley
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Title
Automating the selection of standard parallels for conic map projections
Published in
Computers & Geosciences, May 2016
DOI 10.1016/j.cageo.2016.02.020
Authors

Bojan Šavriǒ, Bernhard Jenny

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer > Senior Lecturer 1 10%
Librarian 1 10%
Student > Doctoral Student 1 10%
Student > Bachelor 1 10%
Professor 1 10%
Other 3 30%
Unknown 2 20%
Readers by discipline Count As %
Earth and Planetary Sciences 3 30%
Engineering 3 30%
Social Sciences 1 10%
Unknown 3 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 21 April 2016.
All research outputs
#6,929,769
of 25,373,627 outputs
Outputs from Computers & Geosciences
#222
of 970 outputs
Outputs of similar age
#91,091
of 311,866 outputs
Outputs of similar age from Computers & Geosciences
#4
of 21 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 970 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 77% 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 311,866 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 70% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.