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Estimating the carbon content of oceans using satellite sensor data

Overview of attention for article published in Journal of Big Data, July 2022
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

twitter
6 X users

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
11 Mendeley
Title
Estimating the carbon content of oceans using satellite sensor data
Published in
Journal of Big Data, July 2022
DOI 10.1186/s40537-022-00647-7
Authors

Aadidev Sooknanan, Patrick Hosein

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 18%
Librarian 1 9%
Unspecified 1 9%
Researcher 1 9%
Student > Bachelor 1 9%
Other 0 0%
Unknown 5 45%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 27%
Unspecified 1 9%
Computer Science 1 9%
Environmental Science 1 9%
Unknown 5 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 31 July 2022.
All research outputs
#7,526,875
of 24,749,767 outputs
Outputs from Journal of Big Data
#131
of 372 outputs
Outputs of similar age
#136,014
of 426,451 outputs
Outputs of similar age from Journal of Big Data
#2
of 8 outputs
Altmetric has tracked 24,749,767 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 372 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one has gotten more attention than average, scoring higher than 65% 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 426,451 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 68% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.