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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Benchmarking edge computing devices for grape bunches and trunks detection using accelerated object detection single shot multibox deep learning models
|
|---|---|
| Published in |
Engineering Applications of Artificial Intelligence, January 2023
|
| DOI | 10.1016/j.engappai.2022.105604 |
| Authors |
Sandro Costa Magalhães, Filipe Neves dos Santos, Pedro Machado, António Paulo Moreira, Jorge Dias |
X Demographics
The data shown below were collected from the profiles of 6 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 Kingdom | 1 | 17% |
| Unknown | 5 | 83% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 100% |
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 | 5 | 14% |
| Lecturer | 3 | 9% |
| Professor > Associate Professor | 2 | 6% |
| Researcher | 2 | 6% |
| Student > Bachelor | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 20 | 57% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 14% |
| Engineering | 5 | 14% |
| Agricultural and Biological Sciences | 1 | 3% |
| Unspecified | 1 | 3% |
| Unknown | 23 | 66% |
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 23 November 2022.
All research outputs
#8,544,090
of 25,392,582 outputs
Outputs from Engineering Applications of Artificial Intelligence
#153
of 774 outputs
Outputs of similar age
#160,377
of 475,273 outputs
Outputs of similar age from Engineering Applications of Artificial Intelligence
#5
of 25 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 774 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 55% 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 475,273 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 63% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.