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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Principal variable selection to explain grain yield variation in winter wheat from features extracted from UAV imagery
|
|---|---|
| Published in |
Plant Methods, November 2019
|
| DOI | 10.1186/s13007-019-0508-7 |
| Pubmed ID | |
| Authors |
Jiating Li, Arun-Narenthiran Veeranampalayam-Sivakumar, Madhav Bhatta, Nicholas D. Garst, Hannah Stoll, P. Stephen Baenziger, Vikas Belamkar, Reka Howard, Yufeng Ge, Yeyin Shi |
X Demographics
The data shown below were collected from the profile of 1 X user 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 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 58 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 17% |
| Researcher | 8 | 14% |
| Student > Ph. D. Student | 7 | 12% |
| Student > Doctoral Student | 5 | 9% |
| Professor > Associate Professor | 3 | 5% |
| Other | 8 | 14% |
| Unknown | 17 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 27 | 47% |
| Engineering | 5 | 9% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Computer Science | 1 | 2% |
| Environmental Science | 1 | 2% |
| Other | 4 | 7% |
| Unknown | 19 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 02 November 2019.
All research outputs
#18,695,869
of 23,170,347 outputs
Outputs from Plant Methods
#968
of 1,096 outputs
Outputs of similar age
#271,251
of 362,940 outputs
Outputs of similar age from Plant Methods
#36
of 44 outputs
Altmetric has tracked 23,170,347 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
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 is in the 3rd percentile – i.e., 3% 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 362,940 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.