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Machine learning for microalgae detection and utilization

Overview of attention for article published in Frontiers in Marine Science, July 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
5 X users

Citations

dimensions_citation
19 Dimensions

Readers on

mendeley
44 Mendeley
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Title
Machine learning for microalgae detection and utilization
Published in
Frontiers in Marine Science, July 2022
DOI 10.3389/fmars.2022.947394
Authors

Hongwei Ning, Rui Li, Teng Zhou

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 11%
Other 4 9%
Student > Master 4 9%
Researcher 3 7%
Student > Ph. D. Student 3 7%
Other 3 7%
Unknown 22 50%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 14%
Agricultural and Biological Sciences 6 14%
Engineering 6 14%
Chemical Engineering 3 7%
Computer Science 1 2%
Other 2 5%
Unknown 20 45%
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 29 July 2022.
All research outputs
#14,736,776
of 23,885,338 outputs
Outputs from Frontiers in Marine Science
#5,071
of 9,480 outputs
Outputs of similar age
#197,056
of 418,636 outputs
Outputs of similar age from Frontiers in Marine Science
#306
of 804 outputs
Altmetric has tracked 23,885,338 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,480 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 44th percentile – i.e., 44% 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 418,636 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 51% of its contemporaries.
We're also able to compare this research output to 804 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 60% of its contemporaries.