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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Non-destructive estimation of field maize biomass using terrestrial lidar: an evaluation from plot level to individual leaf level
|
|---|---|
| Published in |
Plant Methods, May 2020
|
| DOI | 10.1186/s13007-020-00613-5 |
| Pubmed ID | |
| Authors |
Shichao Jin, Yanjun Su, Shilin Song, Kexin Xu, Tianyu Hu, Qiuli Yang, Fangfang Wu, Guangcai Xu, Qin Ma, Hongcan Guan, Shuxin Pang, Yumei Li, Qinghua Guo |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 25% |
| United Kingdom | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 50% |
| Members of the public | 1 | 25% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 70 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 13% |
| Student > Master | 8 | 11% |
| Researcher | 5 | 7% |
| Student > Bachelor | 4 | 6% |
| Student > Doctoral Student | 2 | 3% |
| Other | 6 | 9% |
| Unknown | 36 | 51% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 11 | 16% |
| Computer Science | 7 | 10% |
| Environmental Science | 5 | 7% |
| Engineering | 4 | 6% |
| Biochemistry, Genetics and Molecular Biology | 1 | 1% |
| Other | 2 | 3% |
| Unknown | 40 | 57% |
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 15 May 2020.
All research outputs
#7,604,369
of 23,207,489 outputs
Outputs from Plant Methods
#512
of 1,096 outputs
Outputs of similar age
#157,545
of 387,132 outputs
Outputs of similar age from Plant Methods
#31
of 45 outputs
Altmetric has tracked 23,207,489 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 1,096 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has gotten more attention than average, scoring higher than 53% 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 387,132 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 45 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.