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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Predicting Affect Classification in Mental Status Examination Using Machine Learning Face Action Recognition System: A Pilot Study in Schizophrenia Patients
|
|---|---|
| Published in |
Frontiers in Psychiatry, May 2019
|
| DOI | 10.3389/fpsyt.2019.00288 |
| Pubmed ID | |
| Authors |
Ran Barzilay, Nadav Israel, Amir Krivoy, Roi Sagy, Shiri Kamhi-Nesher, Oren Loebstein, Lior Wolf, Gal Shoval |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 45 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 7 | 16% |
| Student > Master | 7 | 16% |
| Researcher | 5 | 11% |
| Student > Ph. D. Student | 3 | 7% |
| Student > Doctoral Student | 2 | 4% |
| Other | 5 | 11% |
| Unknown | 16 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 8 | 18% |
| Psychology | 4 | 9% |
| Medicine and Dentistry | 4 | 9% |
| Agricultural and Biological Sciences | 3 | 7% |
| Nursing and Health Professions | 2 | 4% |
| Other | 9 | 20% |
| Unknown | 15 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 30 May 2019.
All research outputs
#18,683,314
of 23,149,216 outputs
Outputs from Frontiers in Psychiatry
#7,053
of 10,280 outputs
Outputs of similar age
#262,739
of 350,020 outputs
Outputs of similar age from Frontiers in Psychiatry
#183
of 227 outputs
Altmetric has tracked 23,149,216 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,280 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one is in the 23rd percentile – i.e., 23% 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 350,020 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 227 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.