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Using an algorithmic approach for grouping roles and sub-units

Overview of attention for article published in Journal of Organization Design, March 2020
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
3 X users

Citations

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6 Dimensions

Readers on

mendeley
19 Mendeley
Title
Using an algorithmic approach for grouping roles and sub-units
Published in
Journal of Organization Design, March 2020
DOI 10.1186/s41469-020-0069-2
Authors

Nicolay Worren, Tore Christiansen, Kim Verner Soldal

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 26%
Researcher 2 11%
Other 1 5%
Lecturer 1 5%
Student > Doctoral Student 1 5%
Other 3 16%
Unknown 6 32%
Readers by discipline Count As %
Business, Management and Accounting 7 37%
Economics, Econometrics and Finance 2 11%
Psychology 1 5%
Social Sciences 1 5%
Engineering 1 5%
Other 0 0%
Unknown 7 37%
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 19 April 2021.
All research outputs
#14,364,134
of 24,138,997 outputs
Outputs from Journal of Organization Design
#83
of 105 outputs
Outputs of similar age
#188,445
of 371,552 outputs
Outputs of similar age from Journal of Organization Design
#3
of 3 outputs
Altmetric has tracked 24,138,997 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 105 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one is in the 17th percentile – i.e., 17% 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 371,552 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.