The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Recognition and Localization Methods for Vision-Based Fruit Picking Robots: A Review
|
|---|---|
| Published in |
Frontiers in Plant Science, May 2020
|
| DOI | 10.3389/fpls.2020.00510 |
| Pubmed ID | |
| Authors |
Yunchao Tang, Mingyou Chen, Chenglin Wang, Lufeng Luo, Jinhui Li, Guoping Lian, Xiangjun Zou |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 298 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 298 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 33 | 11% |
| Student > Ph. D. Student | 23 | 8% |
| Student > Master | 21 | 7% |
| Researcher | 20 | 7% |
| Student > Doctoral Student | 9 | 3% |
| Other | 36 | 12% |
| Unknown | 156 | 52% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 60 | 20% |
| Computer Science | 27 | 9% |
| Agricultural and Biological Sciences | 21 | 7% |
| Unspecified | 9 | 3% |
| Economics, Econometrics and Finance | 3 | 1% |
| Other | 18 | 6% |
| Unknown | 160 | 54% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 03 July 2022.
All research outputs
#7,697,099
of 23,577,654 outputs
Outputs from Frontiers in Plant Science
#4,943
of 21,636 outputs
Outputs of similar age
#158,795
of 391,329 outputs
Outputs of similar age from Frontiers in Plant Science
#192
of 530 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 21,636 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 76% 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 391,329 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 59% of its contemporaries.
We're also able to compare this research output to 530 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.