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Machine learning identifies a strong association between warming and reduced primary productivity in an oligotrophic ocean gyre

Overview of attention for article published in Scientific Reports, February 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

twitter
8 X users

Citations

dimensions_citation
31 Dimensions

Readers on

mendeley
116 Mendeley
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Title
Machine learning identifies a strong association between warming and reduced primary productivity in an oligotrophic ocean gyre
Published in
Scientific Reports, February 2020
DOI 10.1038/s41598-020-59989-y
Pubmed ID
Authors

Domenico D’Alelio, Salvatore Rampone, Luigi Maria Cusano, Valerio Morfino, Luca Russo, Nadia Sanseverino, James E. Cloern, Michael W. Lomas

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 116 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 32 28%
Student > Ph. D. Student 21 18%
Other 6 5%
Student > Master 6 5%
Student > Bachelor 5 4%
Other 15 13%
Unknown 31 27%
Readers by discipline Count As %
Earth and Planetary Sciences 31 27%
Environmental Science 19 16%
Agricultural and Biological Sciences 14 12%
Biochemistry, Genetics and Molecular Biology 4 3%
Nursing and Health Professions 2 2%
Other 13 11%
Unknown 33 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 12 May 2020.
All research outputs
#5,599,968
of 22,881,154 outputs
Outputs from Scientific Reports
#38,141
of 123,609 outputs
Outputs of similar age
#104,206
of 359,006 outputs
Outputs of similar age from Scientific Reports
#1,334
of 4,208 outputs
Altmetric has tracked 22,881,154 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 123,609 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.2. This one has gotten more attention than average, scoring higher than 69% of its peers.
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 359,006 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 4,208 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.