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Methods for quantitative studies of seafloor hydrothermal systems using 3D visual reconstructions

Overview of attention for article published in ROBOMECH Journal, September 2017
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1 X user

Citations

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5 Dimensions

Readers on

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25 Mendeley
Title
Methods for quantitative studies of seafloor hydrothermal systems using 3D visual reconstructions
Published in
ROBOMECH Journal, September 2017
DOI 10.1186/s40648-017-0091-5
Authors

Adrian Bodenmann, Blair Thornton, Ryota Nakajima, Tamaki Ura

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 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 28%
Student > Master 5 20%
Professor > Associate Professor 3 12%
Student > Bachelor 3 12%
Student > Ph. D. Student 2 8%
Other 0 0%
Unknown 5 20%
Readers by discipline Count As %
Engineering 6 24%
Earth and Planetary Sciences 5 20%
Environmental Science 2 8%
Computer Science 1 4%
Social Sciences 1 4%
Other 1 4%
Unknown 9 36%
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 17 September 2017.
All research outputs
#20,447,499
of 23,002,898 outputs
Outputs from ROBOMECH Journal
#65
of 70 outputs
Outputs of similar age
#276,277
of 316,290 outputs
Outputs of similar age from ROBOMECH Journal
#7
of 7 outputs
Altmetric has tracked 23,002,898 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 70 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 1st percentile – i.e., 1% 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 316,290 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one.