You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
An empirical study on evaluating basic characteristics and adaptability to users of a preventive care system with learning communication robots
|
|---|---|
| Published in |
Soft Computing, March 2015
|
| DOI | 10.1007/s00500-015-1631-7 |
| Authors |
Daisuke Kitakoshi, Takuya Okano, Masato Suzuki |
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 % |
|---|---|---|
| Japan | 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 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 2% |
| Canada | 1 | 2% |
| Brazil | 1 | 2% |
| Unknown | 43 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 22% |
| Student > Master | 8 | 17% |
| Researcher | 6 | 13% |
| Professor > Associate Professor | 3 | 7% |
| Student > Postgraduate | 2 | 4% |
| Other | 6 | 13% |
| Unknown | 11 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 7 | 15% |
| Social Sciences | 5 | 11% |
| Engineering | 5 | 11% |
| Business, Management and Accounting | 4 | 9% |
| Medicine and Dentistry | 3 | 7% |
| Other | 9 | 20% |
| Unknown | 13 | 28% |
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 19 January 2017.
All research outputs
#16,060,819
of 23,839,820 outputs
Outputs from Soft Computing
#258
of 465 outputs
Outputs of similar age
#156,113
of 260,606 outputs
Outputs of similar age from Soft Computing
#2
of 5 outputs
Altmetric has tracked 23,839,820 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 465 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 25th percentile – i.e., 25% 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 260,606 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.