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Countering Expert Uncertainty: Rhetorical Strategies from the Case of Value-Added Modeling in Teacher Evaluation

Overview of attention for article published in Minerva, September 2018
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  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
4 X users
facebook
1 Facebook page

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
14 Mendeley
Title
Countering Expert Uncertainty: Rhetorical Strategies from the Case of Value-Added Modeling in Teacher Evaluation
Published in
Minerva, September 2018
DOI 10.1007/s11024-018-9359-z
Authors

Glory Tobiason

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 2 14%
Student > Ph. D. Student 2 14%
Student > Master 2 14%
Student > Bachelor 1 7%
Student > Postgraduate 1 7%
Other 0 0%
Unknown 6 43%
Readers by discipline Count As %
Social Sciences 4 29%
Linguistics 1 7%
Biochemistry, Genetics and Molecular Biology 1 7%
Economics, Econometrics and Finance 1 7%
Sports and Recreations 1 7%
Other 0 0%
Unknown 6 43%
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 16 May 2019.
All research outputs
#14,438,902
of 23,128,387 outputs
Outputs from Minerva
#274
of 395 outputs
Outputs of similar age
#188,340
of 335,437 outputs
Outputs of similar age from Minerva
#4
of 6 outputs
Altmetric has tracked 23,128,387 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 395 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.0. This one is in the 24th percentile – i.e., 24% 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 335,437 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.