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Maximizing research and development resources: identifying and testing “load-bearing conditions” for educational technology innovations

Overview of attention for article published in Educational technology research and development, October 2015
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 X user
facebook
1 Facebook page
googleplus
1 Google+ user

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
69 Mendeley
Title
Maximizing research and development resources: identifying and testing “load-bearing conditions” for educational technology innovations
Published in
Educational technology research and development, October 2015
DOI 10.1007/s11423-015-9409-2
Authors

Jennifer Iriti, William Bickel, Christian Schunn, Mary Kay Stein

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

Geographical breakdown

Country Count As %
United States 1 1%
Unknown 68 99%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 12 17%
Student > Ph. D. Student 11 16%
Student > Master 9 13%
Researcher 7 10%
Lecturer 5 7%
Other 15 22%
Unknown 10 14%
Readers by discipline Count As %
Social Sciences 21 30%
Psychology 6 9%
Engineering 6 9%
Arts and Humanities 4 6%
Computer Science 4 6%
Other 11 16%
Unknown 17 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 28 March 2016.
All research outputs
#15,052,229
of 23,911,072 outputs
Outputs from Educational technology research and development
#564
of 1,048 outputs
Outputs of similar age
#151,766
of 288,434 outputs
Outputs of similar age from Educational technology research and development
#8
of 14 outputs
Altmetric has tracked 23,911,072 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,048 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 36th percentile – i.e., 36% 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 288,434 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 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.