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Assessment of Collaborative Problem Solving Based on Process Stream Data: A New Paradigm for Extracting Indicators and Modeling Dyad Data

Overview of attention for article published in Frontiers in Psychology, February 2019
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1 X user

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51 Mendeley
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Title
Assessment of Collaborative Problem Solving Based on Process Stream Data: A New Paradigm for Extracting Indicators and Modeling Dyad Data
Published in
Frontiers in Psychology, February 2019
DOI 10.3389/fpsyg.2019.00369
Pubmed ID
Authors

Jianlin Yuan, Yue Xiao, Hongyun Liu

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 20%
Researcher 6 12%
Student > Bachelor 5 10%
Lecturer 5 10%
Student > Master 4 8%
Other 8 16%
Unknown 13 25%
Readers by discipline Count As %
Social Sciences 9 18%
Psychology 6 12%
Computer Science 3 6%
Business, Management and Accounting 2 4%
Arts and Humanities 2 4%
Other 10 20%
Unknown 19 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 26 February 2019.
All research outputs
#20,556,243
of 23,130,383 outputs
Outputs from Frontiers in Psychology
#24,627
of 30,577 outputs
Outputs of similar age
#304,246
of 353,188 outputs
Outputs of similar age from Frontiers in Psychology
#691
of 821 outputs
Altmetric has tracked 23,130,383 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 30,577 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 1st percentile – i.e., 1% 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 353,188 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 821 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.