| Title |
Hierarchical activity recognition for dementia care using Markov Logic Network
|
|---|---|
| Published in |
Personal and Ubiquitous Computing, September 2014
|
| DOI | 10.1007/s00779-014-0827-7 |
| Authors |
K. S. Gayathri, Susan Elias, Balaraman Ravindran |
Mendeley readers
The data shown below were compiled from readership statistics for 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | <1% |
| United States | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Unknown | 115 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 41 | 35% |
| Student > Master | 16 | 14% |
| Researcher | 14 | 12% |
| Student > Bachelor | 5 | 4% |
| Professor > Associate Professor | 5 | 4% |
| Other | 20 | 17% |
| Unknown | 17 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 54 | 46% |
| Engineering | 17 | 14% |
| Psychology | 7 | 6% |
| Nursing and Health Professions | 3 | 3% |
| Environmental Science | 2 | 2% |
| Other | 11 | 9% |
| Unknown | 24 | 20% |
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 23 January 2015.
All research outputs
#20,264,045
of 22,794,367 outputs
Outputs from Personal and Ubiquitous Computing
#1,092
of 1,190 outputs
Outputs of similar age
#211,269
of 252,743 outputs
Outputs of similar age from Personal and Ubiquitous Computing
#16
of 28 outputs
Altmetric has tracked 22,794,367 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,190 research outputs from this source. They receive a mean Attention Score of 2.5. This one is in the 1st percentile – i.e., 1% 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 252,743 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% 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 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.