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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Designing Wearable Augmented Reality Concepts to Support Scalability in Autonomous Vehicle-Pedestrian Interaction
|
|---|---|
| Published in |
Frontiers in Computer Science, March 2022
|
| DOI | 10.3389/fcomp.2022.866516 |
| Authors |
Tram Thi Minh Tran, Callum Parker, Yiyuan Wang, Martin Tomitsch |
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 % |
|---|---|---|
| Australia | 4 | 57% |
| United States | 1 | 14% |
| Unknown | 2 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 71% |
| Scientists | 2 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 27 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 19% |
| Student > Bachelor | 4 | 15% |
| Lecturer | 3 | 11% |
| Student > Doctoral Student | 2 | 7% |
| Student > Master | 2 | 7% |
| Other | 1 | 4% |
| Unknown | 10 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 8 | 30% |
| Computer Science | 4 | 15% |
| Design | 2 | 7% |
| Economics, Econometrics and Finance | 1 | 4% |
| Unspecified | 1 | 4% |
| Other | 2 | 7% |
| Unknown | 9 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 13 March 2024.
All research outputs
#7,068,965
of 25,498,750 outputs
Outputs from Frontiers in Computer Science
#117,361
of 924,247 outputs
Outputs of similar age
#137,375
of 447,687 outputs
Outputs of similar age from Frontiers in Computer Science
#3,544
of 27,947 outputs
Altmetric has tracked 25,498,750 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 924,247 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 87% 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 447,687 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 69% of its contemporaries.
We're also able to compare this research output to 27,947 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.