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 |
A Novel Greenhouse-Based System for the Detection and Plumpness Assessment of Strawberry Using an Improved Deep Learning Technique
|
|---|---|
| Published in |
Frontiers in Plant Science, June 2020
|
| DOI | 10.3389/fpls.2020.00559 |
| Pubmed ID | |
| Authors |
Chengquan Zhou, Jun Hu, Zhifu Xu, Jibo Yue, Hongbao Ye, Guijun Yang |
X Demographics
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Peru | 1 | 20% |
| Switzerland | 1 | 20% |
| Japan | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 55 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 9% |
| Unspecified | 3 | 5% |
| Student > Postgraduate | 3 | 5% |
| Student > Ph. D. Student | 3 | 5% |
| Student > Doctoral Student | 2 | 4% |
| Other | 6 | 11% |
| Unknown | 33 | 60% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 7% |
| Engineering | 4 | 7% |
| Agricultural and Biological Sciences | 4 | 7% |
| Unspecified | 3 | 5% |
| Biochemistry, Genetics and Molecular Biology | 2 | 4% |
| Other | 3 | 5% |
| Unknown | 35 | 64% |
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 13 July 2020.
All research outputs
#14,372,896
of 25,523,622 outputs
Outputs from Frontiers in Plant Science
#5,982
of 24,782 outputs
Outputs of similar age
#204,983
of 433,908 outputs
Outputs of similar age from Frontiers in Plant Science
#230
of 568 outputs
Altmetric has tracked 25,523,622 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 24,782 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 75% 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 433,908 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 52% of its contemporaries.
We're also able to compare this research output to 568 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 59% of its contemporaries.