| Title |
User-adaptive models for activity and emotion recognition using deep transfer learning and data augmentation
|
|---|---|
| Published in |
User Modeling and User-Adapted Interaction, October 2019
|
| DOI | 10.1007/s11257-019-09248-1 |
| Authors |
Enrique Garcia-Ceja, Michael Riegler, Anders K. Kvernberg, Jim Torresen |
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 % |
|---|---|---|
| Norway | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 75 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 16% |
| Student > Master | 8 | 11% |
| Student > Bachelor | 6 | 8% |
| Other | 5 | 7% |
| Student > Doctoral Student | 3 | 4% |
| Other | 14 | 19% |
| Unknown | 27 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 24 | 32% |
| Engineering | 7 | 9% |
| Social Sciences | 2 | 3% |
| Agricultural and Biological Sciences | 2 | 3% |
| Business, Management and Accounting | 1 | 1% |
| Other | 6 | 8% |
| Unknown | 33 | 44% |
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 28 October 2019.
All research outputs
#14,546,919
of 23,911,072 outputs
Outputs from User Modeling and User-Adapted Interaction
#148
of 191 outputs
Outputs of similar age
#187,669
of 359,692 outputs
Outputs of similar age from User Modeling and User-Adapted Interaction
#4
of 4 outputs
Altmetric has tracked 23,911,072 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 191 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 18th percentile – i.e., 18% 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 359,692 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.