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Classifying Pacific islands

Overview of attention for article published in Geoscience Letters, March 2016
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Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
33 Mendeley
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Title
Classifying Pacific islands
Published in
Geoscience Letters, March 2016
DOI 10.1186/s40562-016-0041-8
Authors

Patrick D. Nunn, Lalit Kumar, Ian Eliot, Roger F. McLean

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 3%
Unknown 32 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 33%
Unspecified 6 18%
Student > Bachelor 5 15%
Student > Master 4 12%
Researcher 2 6%
Other 5 15%
Readers by discipline Count As %
Environmental Science 12 36%
Agricultural and Biological Sciences 7 21%
Unspecified 7 21%
Earth and Planetary Sciences 3 9%
Social Sciences 2 6%
Other 2 6%

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 04 March 2016.
All research outputs
#5,556,628
of 7,349,306 outputs
Outputs from Geoscience Letters
#21
of 26 outputs
Outputs of similar age
#197,743
of 281,723 outputs
Outputs of similar age from Geoscience Letters
#4
of 4 outputs
Altmetric has tracked 7,349,306 research outputs across all sources so far. This one is in the 13th percentile – i.e., 13% of other outputs scored the same or lower than it.
So far Altmetric has tracked 26 research outputs from this source. They receive a mean Attention Score of 3.4. This one scored the same or higher as 5 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 281,723 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.