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A Graph-Learning Approach for Detecting Moral Conflict in Movie Scripts

Overview of attention for article published in Media and Communication, August 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
30 Mendeley
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Title
A Graph-Learning Approach for Detecting Moral Conflict in Movie Scripts
Published in
Media and Communication, August 2020
DOI 10.17645/mac.v8i3.3155
Authors

Frederic René Hopp, Jacob Taylor Fisher, René Weber

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

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 10%
Student > Bachelor 3 10%
Student > Doctoral Student 2 7%
Student > Master 2 7%
Researcher 2 7%
Other 5 17%
Unknown 13 43%
Readers by discipline Count As %
Social Sciences 6 20%
Arts and Humanities 4 13%
Computer Science 3 10%
Business, Management and Accounting 2 7%
Philosophy 1 3%
Other 1 3%
Unknown 13 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 23 November 2021.
All research outputs
#13,170,381
of 23,230,825 outputs
Outputs from Media and Communication
#360
of 527 outputs
Outputs of similar age
#186,773
of 398,509 outputs
Outputs of similar age from Media and Communication
#23
of 26 outputs
Altmetric has tracked 23,230,825 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 527 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. This one is in the 30th percentile – i.e., 30% 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 398,509 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 52% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.