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Regional Empirical Algorithms for an Improved Identification of Phytoplankton Functional Types and Size Classes in the Mediterranean Sea Using Satellite Data

Overview of attention for article published in Frontiers in Marine Science, May 2017
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1 X user

Citations

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46 Mendeley
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Title
Regional Empirical Algorithms for an Improved Identification of Phytoplankton Functional Types and Size Classes in the Mediterranean Sea Using Satellite Data
Published in
Frontiers in Marine Science, May 2017
DOI 10.3389/fmars.2017.00126
Authors

Annalisa Di Cicco, Michela Sammartino, Salvatore Marullo, Rosalia Santoleri

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

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 22%
Researcher 8 17%
Student > Master 4 9%
Professor 3 7%
Student > Doctoral Student 2 4%
Other 3 7%
Unknown 16 35%
Readers by discipline Count As %
Earth and Planetary Sciences 12 26%
Environmental Science 6 13%
Agricultural and Biological Sciences 4 9%
Engineering 2 4%
Physics and Astronomy 1 2%
Other 0 0%
Unknown 21 46%
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 19 May 2017.
All research outputs
#20,421,487
of 22,973,051 outputs
Outputs from Frontiers in Marine Science
#7,973
of 8,470 outputs
Outputs of similar age
#272,295
of 312,883 outputs
Outputs of similar age from Frontiers in Marine Science
#112
of 119 outputs
Altmetric has tracked 22,973,051 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 8,470 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.0. 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 312,883 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 119 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.