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Ambivalent economizations: the case of value added modeling in teacher evaluation

Overview of attention for article published in Theory & Society, October 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
18 tweeters

Readers on

mendeley
4 Mendeley
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Title
Ambivalent economizations: the case of value added modeling in teacher evaluation
Published in
Theory & Society, October 2020
DOI 10.1007/s11186-020-09417-x
Authors

Zachary Griffen, Aaron Panofsky

Twitter Demographics

The data shown below were collected from the profiles of 18 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 2 50%
Researcher 1 25%
Unspecified 1 25%
Readers by discipline Count As %
Social Sciences 3 75%
Unspecified 1 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 05 January 2021.
All research outputs
#1,754,312
of 16,983,585 outputs
Outputs from Theory & Society
#51
of 369 outputs
Outputs of similar age
#52,572
of 319,009 outputs
Outputs of similar age from Theory & Society
#9
of 12 outputs
Altmetric has tracked 16,983,585 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 369 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one has done well, scoring higher than 86% of its peers.
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 319,009 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.