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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Estimation of plant height and yield based on UAV imagery in faba bean (Vicia faba L.)
|
|---|---|
| Published in |
Plant Methods, March 2022
|
| DOI | 10.1186/s13007-022-00861-7 |
| Pubmed ID | |
| Authors |
Yishan Ji, Zhen Chen, Qian Cheng, Rong Liu, Mengwei Li, Xin Yan, Guan Li, Dong Wang, Li Fu, Yu Ma, Xiuliang Jin, Xuxiao Zong, Tao 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 % |
|---|---|---|
| Switzerland | 1 | 20% |
| United Kingdom | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 1 | 20% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 48 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 10% |
| Student > Master | 5 | 10% |
| Lecturer | 4 | 8% |
| Student > Doctoral Student | 3 | 6% |
| Student > Ph. D. Student | 3 | 6% |
| Other | 5 | 10% |
| Unknown | 23 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 9 | 19% |
| Engineering | 6 | 13% |
| Environmental Science | 4 | 8% |
| Computer Science | 3 | 6% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 23 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 March 2022.
All research outputs
#14,291,196
of 23,347,114 outputs
Outputs from Plant Methods
#693
of 1,105 outputs
Outputs of similar age
#208,261
of 440,510 outputs
Outputs of similar age from Plant Methods
#38
of 43 outputs
Altmetric has tracked 23,347,114 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,105 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one is in the 34th percentile – i.e., 34% of its peers scored the same or lower than it.
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 440,510 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 51% of its contemporaries.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.