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Learning to detect deception from three communication channels

Overview of attention for article published in Journal of Nonverbal Behavior, September 1985
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Mentioned by

policy
1 policy source

Citations

dimensions_citation
41 Dimensions

Readers on

mendeley
14 Mendeley
Title
Learning to detect deception from three communication channels
Published in
Journal of Nonverbal Behavior, September 1985
DOI 10.1007/bf01000739
Authors

Miron Zuckerman, Richard Koestner, Michele J. Colella

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 %
Student > Ph. D. Student 4 29%
Student > Master 3 21%
Student > Doctoral Student 2 14%
Lecturer > Senior Lecturer 1 7%
Lecturer 1 7%
Other 1 7%
Unknown 2 14%
Readers by discipline Count As %
Psychology 8 57%
Business, Management and Accounting 1 7%
Philosophy 1 7%
Agricultural and Biological Sciences 1 7%
Social Sciences 1 7%
Other 0 0%
Unknown 2 14%
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 01 January 1991.
All research outputs
#8,535,684
of 25,374,917 outputs
Outputs from Journal of Nonverbal Behavior
#254
of 413 outputs
Outputs of similar age
#2,736
of 9,473 outputs
Outputs of similar age from Journal of Nonverbal Behavior
#2
of 2 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 413 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.4. This one is in the 28th percentile – i.e., 28% 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 9,473 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.