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A comparison of distributed machine learning methods for the support of “many labs” collaborations in computational modeling of decision making

Overview of attention for article published in Frontiers in Psychology, August 2022
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

twitter
2 X users

Readers on

mendeley
12 Mendeley
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Title
A comparison of distributed machine learning methods for the support of “many labs” collaborations in computational modeling of decision making
Published in
Frontiers in Psychology, August 2022
DOI 10.3389/fpsyg.2022.943198
Pubmed ID
Authors

Lili Zhang, Himanshu Vashisht, Andrey Totev, Nam Trinh, Tomas Ward

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 17%
Professor > Associate Professor 2 17%
Student > Bachelor 2 17%
Lecturer > Senior Lecturer 1 8%
Researcher 1 8%
Other 1 8%
Unknown 3 25%
Readers by discipline Count As %
Neuroscience 2 17%
Agricultural and Biological Sciences 1 8%
Computer Science 1 8%
Biochemistry, Genetics and Molecular Biology 1 8%
Psychology 1 8%
Other 3 25%
Unknown 3 25%
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 30 August 2022.
All research outputs
#15,556,405
of 23,206,358 outputs
Outputs from Frontiers in Psychology
#18,850
of 30,775 outputs
Outputs of similar age
#234,363
of 433,056 outputs
Outputs of similar age from Frontiers in Psychology
#798
of 1,811 outputs
Altmetric has tracked 23,206,358 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 30,775 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one is in the 37th percentile – i.e., 37% 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 433,056 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,811 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 53% of its contemporaries.