Title |
A modular cognitive model of socially embedded robot partners for information support
|
---|---|
Published in |
ROBOMECH Journal, March 2017
|
DOI | 10.1186/s40648-017-0079-1 |
Authors |
Jinseok Woo, János Botzheim, Naoyuki Kubota |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 3 | 43% |
France | 1 | 14% |
United States | 1 | 14% |
Spain | 1 | 14% |
Unknown | 1 | 14% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 71% |
Practitioners (doctors, other healthcare professionals) | 1 | 14% |
Science communicators (journalists, bloggers, editors) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 16 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Doctoral Student | 3 | 19% |
Researcher | 3 | 19% |
Student > Bachelor | 2 | 13% |
Student > Ph. D. Student | 2 | 13% |
Lecturer | 1 | 6% |
Other | 2 | 13% |
Unknown | 3 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 5 | 31% |
Engineering | 3 | 19% |
Psychology | 3 | 19% |
Agricultural and Biological Sciences | 1 | 6% |
Economics, Econometrics and Finance | 1 | 6% |
Other | 0 | 0% |
Unknown | 3 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 26 October 2017.
All research outputs
#6,910,692
of 22,961,203 outputs
Outputs from ROBOMECH Journal
#13
of 70 outputs
Outputs of similar age
#110,697
of 309,205 outputs
Outputs of similar age from ROBOMECH Journal
#1
of 4 outputs
Altmetric has tracked 22,961,203 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 70 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done well, scoring higher than 81% 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 309,205 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.
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. This one has scored higher than all of them