| Title |
Stratified sampling in fruit orchards using cluster-based ancillary information maps: a comparative analysis to improve yield and quality estimates
|
|---|---|
| Published in |
Precision Agriculture, November 2018
|
| DOI | 10.1007/s11119-018-9619-9 |
| Authors |
Asier Uribeetxebarria, José A. Martínez-Casasnovas, Alexandre Escolà, Joan R. Rosell-Polo, Jaume Arnó |
X Demographics
The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 7 | 54% |
| United States | 1 | 8% |
| Netherlands | 1 | 8% |
| Unknown | 4 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 77% |
| Scientists | 3 | 23% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 14% |
| Student > Ph. D. Student | 5 | 12% |
| Student > Master | 5 | 12% |
| Professor > Associate Professor | 4 | 9% |
| Student > Bachelor | 2 | 5% |
| Other | 6 | 14% |
| Unknown | 15 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 16 | 37% |
| Engineering | 5 | 12% |
| Mathematics | 1 | 2% |
| Environmental Science | 1 | 2% |
| Medicine and Dentistry | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 18 | 42% |
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 03 April 2019.
All research outputs
#2,722,419
of 23,112,054 outputs
Outputs from Precision Agriculture
#17
of 302 outputs
Outputs of similar age
#57,550
of 343,833 outputs
Outputs of similar age from Precision Agriculture
#1
of 5 outputs
Altmetric has tracked 23,112,054 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 302 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 done particularly well, scoring higher than 94% 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 343,833 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 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them