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 |
Yield prediction by machine learning from UAS-based multi-sensor data fusion in soybean
|
|---|---|
| Published in |
Plant Methods, June 2020
|
| DOI | 10.1186/s13007-020-00620-6 |
| Pubmed ID | |
| Authors |
Monica Herrero-Huerta, Pablo Rodriguez-Gonzalvez, Katy M. Rainey |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 17% |
| New Zealand | 1 | 17% |
| United Arab Emirates | 1 | 17% |
| United Kingdom | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Scientists | 1 | 17% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 101 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 10% |
| Student > Master | 10 | 10% |
| Student > Ph. D. Student | 9 | 9% |
| Student > Doctoral Student | 7 | 7% |
| Student > Bachelor | 6 | 6% |
| Other | 11 | 11% |
| Unknown | 48 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 17 | 17% |
| Computer Science | 9 | 9% |
| Engineering | 5 | 5% |
| Earth and Planetary Sciences | 4 | 4% |
| Environmental Science | 3 | 3% |
| Other | 10 | 10% |
| Unknown | 53 | 52% |
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 10 June 2020.
All research outputs
#13,100,171
of 23,211,181 outputs
Outputs from Plant Methods
#572
of 1,096 outputs
Outputs of similar age
#184,839
of 397,522 outputs
Outputs of similar age from Plant Methods
#29
of 43 outputs
Altmetric has tracked 23,211,181 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 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 46th percentile – i.e., 46% 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 397,522 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 53% 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 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.