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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Detecting Biological Motion for Human–Robot Interaction: A Link between Perception and Action
|
|---|---|
| Published in |
Frontiers in Robotics and AI, June 2017
|
| DOI | 10.3389/frobt.2017.00014 |
| Authors |
Alessia Vignolo, Nicoletta Noceti, Francesco Rea, Alessandra Sciutti, Francesca Odone, Giulio Sandini |
X Demographics
The data shown below were collected from the profiles of 30 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 13 | 43% |
| United States | 3 | 10% |
| Spain | 1 | 3% |
| Canada | 1 | 3% |
| Japan | 1 | 3% |
| United Kingdom | 1 | 3% |
| Unknown | 10 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 28 | 93% |
| Scientists | 2 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 35 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 34% |
| Student > Master | 5 | 14% |
| Researcher | 5 | 14% |
| Student > Bachelor | 4 | 11% |
| Student > Doctoral Student | 2 | 6% |
| Other | 4 | 11% |
| Unknown | 3 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 16 | 46% |
| Computer Science | 6 | 17% |
| Philosophy | 2 | 6% |
| Psychology | 2 | 6% |
| Neuroscience | 2 | 6% |
| Other | 4 | 11% |
| Unknown | 3 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. 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 10 January 2019.
All research outputs
#1,650,894
of 25,398,331 outputs
Outputs from Frontiers in Robotics and AI
#105
of 1,770 outputs
Outputs of similar age
#31,889
of 331,605 outputs
Outputs of similar age from Frontiers in Robotics and AI
#4
of 20 outputs
Altmetric has tracked 25,398,331 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 1,770 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.6. This one has done particularly well, scoring higher than 94% 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 331,605 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 20 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.