↓ 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 (95th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

blogs
2 blogs
twitter
41 X users
facebook
2 Facebook pages
googleplus
1 Google+ user

Citations

dimensions_citation
441 Dimensions

Readers on

mendeley
444 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

X Demographics

X Demographics

The data shown below were collected from the profiles of 41 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 444 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 4 <1%
Canada 4 <1%
Australia 2 <1%
United Kingdom 2 <1%
Spain 2 <1%
Russia 2 <1%
France 1 <1%
Other 4 <1%
Unknown 408 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 114 26%
Student > Ph. D. Student 91 20%
Student > Master 70 16%
Student > Bachelor 34 8%
Other 22 5%
Other 59 13%
Unknown 54 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 212 48%
Environmental Science 67 15%
Earth and Planetary Sciences 39 9%
Biochemistry, Genetics and Molecular Biology 21 5%
Engineering 7 2%
Other 25 6%
Unknown 73 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 41. 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 19 May 2021.
All research outputs
#1,016,951
of 25,837,817 outputs
Outputs from PLOS ONE
#13,036
of 224,660 outputs
Outputs of similar age
#8,532
of 211,736 outputs
Outputs of similar age from PLOS ONE
#349
of 5,084 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 224,660 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.8. This one has done particularly well, scoring higher than 93% 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 211,736 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 95% of its contemporaries.
We're also able to compare this research output to 5,084 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.