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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Mastication-Enhanced Taste-Based Classification of Multi-Ingredient Dishes for Robotic Cooking
|
|---|---|
| Published in |
Frontiers in Robotics and AI, May 2022
|
| DOI | 10.3389/frobt.2022.886074 |
| Pubmed ID | |
| Authors |
Grzegorz Sochacki, Arsen Abdulali, Fumiya Iida |
X Demographics
The data shown below were collected from the profiles of 21 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 2 | 10% |
| United States | 2 | 10% |
| Canada | 2 | 10% |
| Korea, Democratic People's Republic of | 1 | 5% |
| Spain | 1 | 5% |
| Korea, Republic of | 1 | 5% |
| Switzerland | 1 | 5% |
| United Kingdom | 1 | 5% |
| Unknown | 10 | 48% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 18 | 86% |
| Scientists | 2 | 10% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 6 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 1 | 17% |
| Student > Ph. D. Student | 1 | 17% |
| Researcher | 1 | 17% |
| Other | 1 | 17% |
| Unknown | 2 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 2 | 33% |
| Psychology | 1 | 17% |
| Engineering | 1 | 17% |
| Unknown | 2 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2088. 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 20 February 2024.
All research outputs
#4,173
of 25,109,675 outputs
Outputs from Frontiers in Robotics and AI
#2
of 1,726 outputs
Outputs of similar age
#160
of 435,912 outputs
Outputs of similar age from Frontiers in Robotics and AI
#1
of 94 outputs
Altmetric has tracked 25,109,675 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,726 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.7. This one has done particularly well, scoring higher than 99% 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 435,912 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 99% of its contemporaries.
We're also able to compare this research output to 94 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 99% of its contemporaries.