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Development of an Algorithm for Chemically Dispersed Oil Spills

Overview of attention for article published in Frontiers in Marine Science, November 2020
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Mentioned by

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3 X users

Citations

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5 Dimensions

Readers on

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7 Mendeley
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Title
Development of an Algorithm for Chemically Dispersed Oil Spills
Published in
Frontiers in Marine Science, November 2020
DOI 10.3389/fmars.2020.600614
Authors

Merv F. Fingas, Kaan Yetilmezsoy, Majid Bahramian

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 14%
Other 1 14%
Lecturer 1 14%
Student > Ph. D. Student 1 14%
Student > Master 1 14%
Other 2 29%
Readers by discipline Count As %
Engineering 2 29%
Environmental Science 2 29%
Unspecified 1 14%
Earth and Planetary Sciences 1 14%
Agricultural and Biological Sciences 1 14%
Other 0 0%
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 28 November 2020.
All research outputs
#15,123,930
of 23,267,128 outputs
Outputs from Frontiers in Marine Science
#5,459
of 8,788 outputs
Outputs of similar age
#289,985
of 509,034 outputs
Outputs of similar age from Frontiers in Marine Science
#224
of 327 outputs
Altmetric has tracked 23,267,128 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,788 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.8. This one is in the 33rd percentile – i.e., 33% 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 509,034 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 327 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.