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Promoting deep learning through project-based learning: a design problem

Overview of attention for article published in Disciplinary and Interdisciplinary Science Education Research, November 2019
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Mentioned by

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1 X user

Citations

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80 Dimensions

Readers on

mendeley
279 Mendeley
Title
Promoting deep learning through project-based learning: a design problem
Published in
Disciplinary and Interdisciplinary Science Education Research, November 2019
DOI 10.1186/s43031-019-0009-6
Authors

Emily C. Miller, Joseph S. Krajcik

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 279 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 279 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 40 14%
Student > Master 21 8%
Student > Ph. D. Student 18 6%
Unspecified 17 6%
Student > Bachelor 14 5%
Other 41 15%
Unknown 128 46%
Readers by discipline Count As %
Social Sciences 41 15%
Unspecified 17 6%
Arts and Humanities 16 6%
Linguistics 11 4%
Agricultural and Biological Sciences 8 3%
Other 49 18%
Unknown 137 49%
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 30 July 2021.
All research outputs
#17,932,284
of 26,017,215 outputs
Outputs from Disciplinary and Interdisciplinary Science Education Research
#45
of 62 outputs
Outputs of similar age
#306,268
of 482,063 outputs
Outputs of similar age from Disciplinary and Interdisciplinary Science Education Research
#7
of 11 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 62 research outputs from this source. They receive a mean Attention Score of 4.5. This one is in the 12th percentile – i.e., 12% 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 482,063 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.