| Title |
Mood modeling: accuracy depends on active logging and reflection
|
|---|---|
| Published in |
Personal and Ubiquitous Computing, March 2018
|
| DOI | 10.1007/s00779-018-1123-8 |
| Authors |
Aaron Springer, Victoria Hollis, Steve Whittaker |
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 % |
|---|---|---|
| Germany | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 59 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 20% |
| Student > Bachelor | 7 | 12% |
| Student > Master | 6 | 10% |
| Student > Doctoral Student | 5 | 8% |
| Researcher | 4 | 7% |
| Other | 7 | 12% |
| Unknown | 18 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 18 | 31% |
| Psychology | 11 | 19% |
| Design | 4 | 7% |
| Engineering | 2 | 3% |
| Medicine and Dentistry | 2 | 3% |
| Other | 4 | 7% |
| Unknown | 18 | 31% |
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 02 March 2018.
All research outputs
#14,094,152
of 23,025,074 outputs
Outputs from Personal and Ubiquitous Computing
#401
of 1,192 outputs
Outputs of similar age
#181,610
of 331,156 outputs
Outputs of similar age from Personal and Ubiquitous Computing
#3
of 20 outputs
Altmetric has tracked 23,025,074 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 1,192 research outputs from this source. They receive a mean Attention Score of 2.8. This one has gotten more attention than average, scoring higher than 64% of its peers.
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 331,156 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.