↓ Skip to main content

marmap: A Package for Importing, Plotting and Analyzing Bathymetric and Topographic Data in R

Overview of attention for article published in PLoS ONE, September 2013
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

blogs
2 blogs
twitter
55 tweeters
facebook
2 Facebook pages
googleplus
1 Google+ user

Citations

dimensions_citation
177 Dimensions

Readers on

mendeley
322 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
marmap: A Package for Importing, Plotting and Analyzing Bathymetric and Topographic Data in R
Published in
PLoS ONE, September 2013
DOI 10.1371/journal.pone.0073051
Pubmed ID
Authors

Eric Pante, Benoit Simon-Bouhet

Abstract

In this communication we introduce marmap, a package designed for downloading, plotting and manipulating bathymetric and topographic data in R. marmap can query the ETOPO1 bathymetry and topography database hosted by the NOAA, use simple latitude-longitude-depth data in ascii format, and take advantage of the advanced plotting tools available in R to build publication-quality bathymetric maps. Functions to query data (bathymetry, sampling information…) are available interactively by clicking on marmap maps. Bathymetric and topographic data can also be used to calculate projected surface areas within specified depth/altitude intervals, and constrain the calculation of realistic shortest path distances. Such information can be used in molecular ecology, for example, to evaluate genetic isolation by distance in a spatially-explicit framework.

Twitter Demographics

The data shown below were collected from the profiles of 55 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 322 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 2%
Brazil 7 2%
Germany 5 2%
Canada 4 1%
Spain 3 <1%
United Kingdom 2 <1%
Russia 2 <1%
Australia 2 <1%
South Africa 1 <1%
Other 6 2%
Unknown 282 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 90 28%
Student > Ph. D. Student 72 22%
Student > Master 50 16%
Student > Bachelor 21 7%
Other 18 6%
Other 43 13%
Unknown 28 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 182 57%
Environmental Science 48 15%
Earth and Planetary Sciences 30 9%
Biochemistry, Genetics and Molecular Biology 12 4%
Medicine and Dentistry 2 <1%
Other 13 4%
Unknown 35 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 50. 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 29 February 2020.
All research outputs
#395,821
of 14,570,742 outputs
Outputs from PLoS ONE
#6,905
of 150,323 outputs
Outputs of similar age
#5,071
of 160,978 outputs
Outputs of similar age from PLoS ONE
#250
of 4,052 outputs
Altmetric has tracked 14,570,742 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 150,323 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.6. This one has done particularly well, scoring higher than 95% 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 160,978 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 4,052 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.