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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Lessons Learned About Designing and Conducting Studies From HRI Experts
|
|---|---|
| Published in |
Frontiers in Robotics and AI, January 2022
|
| DOI | 10.3389/frobt.2021.772141 |
| Pubmed ID | |
| Authors |
Marlena R. Fraune, Iolanda Leite, Nihan Karatas, Aida Amirova, Amélie Legeleux, Anara Sandygulova, Anouk Neerincx, Gaurav Dilip Tikas, Hatice Gunes, Mayumi Mohan, Nida Itrat Abbasi, Sudhir Shenoy, Brian Scassellati, Ewart J. de Visser, Takanori Komatsu |
X Demographics
The data shown below were collected from the profiles of 3 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 | 2 | 67% |
| Switzerland | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 32 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 25% |
| Student > Master | 3 | 9% |
| Student > Bachelor | 2 | 6% |
| Researcher | 2 | 6% |
| Lecturer > Senior Lecturer | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 13 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 19% |
| Engineering | 4 | 13% |
| Nursing and Health Professions | 2 | 6% |
| Business, Management and Accounting | 2 | 6% |
| Psychology | 2 | 6% |
| Other | 4 | 13% |
| Unknown | 12 | 38% |
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 31 January 2022.
All research outputs
#15,493,741
of 23,025,074 outputs
Outputs from Frontiers in Robotics and AI
#1,045
of 1,512 outputs
Outputs of similar age
#281,122
of 503,049 outputs
Outputs of similar age from Frontiers in Robotics and AI
#79
of 104 outputs
Altmetric has tracked 23,025,074 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 1,512 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.7. This one is in the 24th percentile – i.e., 24% 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 503,049 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 104 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.