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Visualized Emotion Ontology: a model for representing visual cues of emotions

Overview of attention for article published in BMC Medical Informatics and Decision Making, July 2018
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  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users
facebook
1 Facebook page

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
95 Mendeley
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Title
Visualized Emotion Ontology: a model for representing visual cues of emotions
Published in
BMC Medical Informatics and Decision Making, July 2018
DOI 10.1186/s12911-018-0634-6
Pubmed ID
Authors

Rebecca Lin, Muhammad “Tuan” Amith, Chen Liang, Rui Duan, Yong Chen, Cui Tao

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 95 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 17%
Student > Ph. D. Student 15 16%
Researcher 9 9%
Student > Doctoral Student 4 4%
Other 4 4%
Other 13 14%
Unknown 34 36%
Readers by discipline Count As %
Computer Science 24 25%
Psychology 9 9%
Medicine and Dentistry 5 5%
Social Sciences 3 3%
Business, Management and Accounting 2 2%
Other 12 13%
Unknown 40 42%
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 26 October 2018.
All research outputs
#16,363,465
of 26,017,215 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,170
of 2,164 outputs
Outputs of similar age
#196,432
of 344,775 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#18
of 28 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,164 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 44th percentile – i.e., 44% 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 344,775 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.