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Creating web applications for spatial epidemiological analysis and mapping in R using Rwui

Overview of attention for article published in Source Code for Biology and Medicine, April 2011
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Mentioned by

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1 X user

Citations

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2 Dimensions

Readers on

mendeley
29 Mendeley
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2 CiteULike
Title
Creating web applications for spatial epidemiological analysis and mapping in R using Rwui
Published in
Source Code for Biology and Medicine, April 2011
DOI 10.1186/1751-0473-6-6
Pubmed ID
Authors

Richard Newton, Andrew Deonarine, Lorenz Wernisch

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 3%
Kenya 1 3%
Sweden 1 3%
Czechia 1 3%
Canada 1 3%
Denmark 1 3%
Unknown 23 79%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 34%
Student > Ph. D. Student 4 14%
Student > Master 4 14%
Other 3 10%
Professor > Associate Professor 3 10%
Other 5 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 38%
Environmental Science 4 14%
Medicine and Dentistry 3 10%
Engineering 2 7%
Chemistry 2 7%
Other 6 21%
Unknown 1 3%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 31 July 2017.
All research outputs
#15,423,393
of 22,931,367 outputs
Outputs from Source Code for Biology and Medicine
#85
of 127 outputs
Outputs of similar age
#85,569
of 109,764 outputs
Outputs of similar age from Source Code for Biology and Medicine
#3
of 3 outputs
Altmetric has tracked 22,931,367 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 127 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one is in the 25th percentile – i.e., 25% of its peers scored the same or lower than it.
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 109,764 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.