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Improving Learners’ Ability to Recognize Emergence with Embedded Assessment in a Virtual Watershed

Overview of attention for article published in Technology, Knowledge and Learning, May 2014
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 X user

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
26 Mendeley
Title
Improving Learners’ Ability to Recognize Emergence with Embedded Assessment in a Virtual Watershed
Published in
Technology, Knowledge and Learning, May 2014
DOI 10.1007/s10758-014-9227-3
Authors

Benjamin E. Erlandson

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 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 5 19%
Researcher 5 19%
Student > Master 3 12%
Professor 2 8%
Student > Doctoral Student 2 8%
Other 0 0%
Unknown 9 35%
Readers by discipline Count As %
Computer Science 4 15%
Social Sciences 4 15%
Psychology 3 12%
Biochemistry, Genetics and Molecular Biology 1 4%
Nursing and Health Professions 1 4%
Other 3 12%
Unknown 10 38%
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 24 June 2014.
All research outputs
#15,302,068
of 22,757,541 outputs
Outputs from Technology, Knowledge and Learning
#220
of 293 outputs
Outputs of similar age
#133,764
of 227,071 outputs
Outputs of similar age from Technology, Knowledge and Learning
#6
of 10 outputs
Altmetric has tracked 22,757,541 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 293 research outputs from this source. They receive a mean Attention Score of 3.8. 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 227,071 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.