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X Demographics
Mendeley readers
Attention Score in Context
Title |
Performance Evaluation and Optimization of 3D Models from Low-Cost 3D Scanning Technologies for Virtual Reality and Metaverse E-Commerce
|
---|---|
Published in |
Applied Sciences, July 2024
|
DOI | 10.3390/app14146037 |
Authors |
Rubén Grande, Javier Albusac, David Vallejo, Carlos Glez-Morcillo, José Jesús Castro-Schez |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 3 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
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 % |
---|---|---|
Lecturer | 2 | 33% |
Student > Bachelor | 2 | 33% |
Student > Ph. D. Student | 1 | 17% |
Unknown | 1 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Economics, Econometrics and Finance | 2 | 33% |
Computer Science | 2 | 33% |
Business, Management and Accounting | 1 | 17% |
Unknown | 1 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 16 July 2024.
All research outputs
#15,096,026
of 26,322,284 outputs
Outputs from Applied Sciences
#2,696
of 16,207 outputs
Outputs of similar age
#54,190
of 160,526 outputs
Outputs of similar age from Applied Sciences
#10
of 71 outputs
Altmetric has tracked 26,322,284 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 16,207 research outputs from this source. They receive a mean Attention Score of 2.1. This one has done well, scoring higher than 82% 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 160,526 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 65% of its contemporaries.
We're also able to compare this research output to 71 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.