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Using Supervised Machine Learning in Automated Content Analysis: An Example Using Relational Uncertainty

Overview of attention for article published in Communication Methods and Measures, August 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)

Mentioned by

twitter
6 X users

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
42 Mendeley
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Title
Using Supervised Machine Learning in Automated Content Analysis: An Example Using Relational Uncertainty
Published in
Communication Methods and Measures, August 2019
DOI 10.1080/19312458.2019.1650166
Authors

Andrew Pilny, Kelly McAninch, Amanda Slone, Kelsey Moore

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 24%
Student > Doctoral Student 5 12%
Lecturer 3 7%
Researcher 3 7%
Student > Master 3 7%
Other 7 17%
Unknown 11 26%
Readers by discipline Count As %
Social Sciences 12 29%
Computer Science 6 14%
Psychology 4 10%
Arts and Humanities 3 7%
Business, Management and Accounting 3 7%
Other 4 10%
Unknown 10 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 01 September 2019.
All research outputs
#7,492,500
of 23,727,139 outputs
Outputs from Communication Methods and Measures
#88
of 164 outputs
Outputs of similar age
#129,651
of 346,568 outputs
Outputs of similar age from Communication Methods and Measures
#4
of 4 outputs
Altmetric has tracked 23,727,139 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 164 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one is in the 46th percentile – i.e., 46% 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 346,568 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.