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X Demographics
Mendeley readers
Attention Score in Context
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
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 50% |
Norway | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 2 | 100% |
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
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.