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Fast Detection of Nutrient Limitation in Macroalgae and Seagrass with Nutrient-Induced Fluorescence

Overview of attention for article published in PLOS ONE, July 2013
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2 X users

Citations

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17 Dimensions

Readers on

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102 Mendeley
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Title
Fast Detection of Nutrient Limitation in Macroalgae and Seagrass with Nutrient-Induced Fluorescence
Published in
PLOS ONE, July 2013
DOI 10.1371/journal.pone.0068834
Pubmed ID
Authors

Joost den Haan, Jef Huisman, Friso Dekker, Jacomina L. ten Brinke, Amanda K. Ford, Jan van Ooijen, Fleur C. van Duyl, Mark J. A. Vermeij, Petra M. Visser

Abstract

Rapid determination of which nutrients limit the primary production of macroalgae and seagrasses is vital for understanding the impacts of eutrophication on marine and freshwater ecosystems. However, current methods to assess nutrient limitation are often cumbersome and time consuming. For phytoplankton, a rapid method has been described based on short-term changes in chlorophyll fluorescence upon nutrient addition, also known as Nutrient-Induced Fluorescence Transients (NIFTs). Thus far, though, the NIFT technique was not well suited for macroalgae and seagrasses.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 2 2%
United States 2 2%
Brazil 1 <1%
Portugal 1 <1%
Spain 1 <1%
Germany 1 <1%
Unknown 94 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 25 25%
Student > Ph. D. Student 21 21%
Student > Master 19 19%
Student > Bachelor 9 9%
Student > Postgraduate 5 5%
Other 11 11%
Unknown 12 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 51 50%
Environmental Science 23 23%
Earth and Planetary Sciences 5 5%
Biochemistry, Genetics and Molecular Biology 2 2%
Chemistry 2 2%
Other 3 3%
Unknown 16 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 05 October 2021.
All research outputs
#13,386,934
of 22,714,025 outputs
Outputs from PLOS ONE
#106,727
of 193,925 outputs
Outputs of similar age
#102,428
of 194,390 outputs
Outputs of similar age from PLOS ONE
#2,590
of 4,845 outputs
Altmetric has tracked 22,714,025 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 193,925 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 42nd percentile – i.e., 42% 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 194,390 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4,845 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.