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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
93 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 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 93 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 17%
Student > Ph. D. Student 15 16%
Researcher 9 10%
Student > Doctoral Student 4 4%
Other 4 4%
Other 12 13%
Unknown 33 35%
Readers by discipline Count As %
Computer Science 24 26%
Psychology 9 10%
Medicine and Dentistry 5 5%
Social Sciences 3 3%
Business, Management and Accounting 2 2%
Other 11 12%
Unknown 39 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
#14,138,420
of 23,099,576 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,082
of 2,013 outputs
Outputs of similar age
#179,293
of 329,731 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#15
of 27 outputs
Altmetric has tracked 23,099,576 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,013 research outputs from this source. They receive a mean Attention Score of 4.9. 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 329,731 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.