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Evaluating the Benefits of Bayesian Hierarchical Methods for Analyzing Heterogeneous Environmental Datasets: A Case Study of Marine Organic Carbon Fluxes

Overview of attention for article published in Frontiers in Environmental Science, March 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

twitter
7 X users

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
26 Mendeley
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Title
Evaluating the Benefits of Bayesian Hierarchical Methods for Analyzing Heterogeneous Environmental Datasets: A Case Study of Marine Organic Carbon Fluxes
Published in
Frontiers in Environmental Science, March 2021
DOI 10.3389/fenvs.2021.491636
Authors

Gregory L. Britten, Yara Mohajerani, Louis Primeau, Murat Aydin, Catherine Garcia, Wei-Lei Wang, Benoît Pasquier, B. B. Cael, François W. Primeau

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 23%
Student > Master 5 19%
Researcher 3 12%
Student > Doctoral Student 3 12%
Student > Bachelor 2 8%
Other 1 4%
Unknown 6 23%
Readers by discipline Count As %
Earth and Planetary Sciences 5 19%
Environmental Science 4 15%
Agricultural and Biological Sciences 3 12%
Business, Management and Accounting 1 4%
Nursing and Health Professions 1 4%
Other 4 15%
Unknown 8 31%
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 06 May 2021.
All research outputs
#6,519,184
of 23,106,390 outputs
Outputs from Frontiers in Environmental Science
#559
of 3,402 outputs
Outputs of similar age
#145,254
of 421,410 outputs
Outputs of similar age from Frontiers in Environmental Science
#30
of 122 outputs
Altmetric has tracked 23,106,390 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 3,402 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 83% 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 421,410 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 64% of its contemporaries.
We're also able to compare this research output to 122 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.