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X Demographics
Mendeley readers
Attention Score in Context
| Title |
California Almond Yield Prediction at the Orchard Level With a Machine Learning Approach
|
|---|---|
| Published in |
Frontiers in Plant Science, July 2019
|
| DOI | 10.3389/fpls.2019.00809 |
| Pubmed ID | |
| Authors |
Zhou Zhang, Yufang Jin, Bin Chen, Patrick Brown |
X Demographics
The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 33% |
| Spain | 1 | 7% |
| Nigeria | 1 | 7% |
| Papua New Guinea | 1 | 7% |
| Switzerland | 1 | 7% |
| Unknown | 6 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 67% |
| Scientists | 5 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 128 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 13% |
| Student > Master | 15 | 12% |
| Student > Ph. D. Student | 15 | 12% |
| Student > Doctoral Student | 8 | 6% |
| Other | 6 | 5% |
| Other | 15 | 12% |
| Unknown | 53 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 23 | 18% |
| Engineering | 14 | 11% |
| Environmental Science | 11 | 9% |
| Earth and Planetary Sciences | 5 | 4% |
| Computer Science | 4 | 3% |
| Other | 11 | 9% |
| Unknown | 60 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 14 September 2020.
All research outputs
#2,739,290
of 23,152,542 outputs
Outputs from Frontiers in Plant Science
#1,285
of 20,837 outputs
Outputs of similar age
#58,557
of 347,197 outputs
Outputs of similar age from Frontiers in Plant Science
#33
of 291 outputs
Altmetric has tracked 23,152,542 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 20,837 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 93% 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 347,197 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 291 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.