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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Long-Term Personalization of an In-Home Socially Assistive Robot for Children With Autism Spectrum Disorders
|
|---|---|
| Published in |
Frontiers in Robotics and AI, November 2019
|
| DOI | 10.3389/frobt.2019.00110 |
| Pubmed ID | |
| Authors |
Caitlyn Clabaugh, Kartik Mahajan, Shomik Jain, Roxanna Pakkar, David Becerra, Zhonghao Shi, Eric Deng, Rhianna Lee, Gisele Ragusa, Maja Matarić |
X Demographics
The data shown below were collected from the profiles of 6 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 States | 3 | 50% |
| Spain | 1 | 17% |
| Switzerland | 1 | 17% |
| Germany | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Scientists | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 100 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 15% |
| Researcher | 12 | 12% |
| Unspecified | 6 | 6% |
| Student > Master | 5 | 5% |
| Student > Doctoral Student | 4 | 4% |
| Other | 12 | 12% |
| Unknown | 46 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 13 | 13% |
| Computer Science | 11 | 11% |
| Unspecified | 6 | 6% |
| Psychology | 6 | 6% |
| Nursing and Health Professions | 3 | 3% |
| Other | 11 | 11% |
| Unknown | 50 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 21. 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 27 February 2020.
All research outputs
#1,575,148
of 23,650,645 outputs
Outputs from Frontiers in Robotics and AI
#103
of 1,572 outputs
Outputs of similar age
#36,122
of 367,813 outputs
Outputs of similar age from Frontiers in Robotics and AI
#5
of 51 outputs
Altmetric has tracked 23,650,645 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,572 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.9. This one has done particularly well, scoring higher than 93% 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 367,813 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.