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X Demographics
Mendeley readers
Attention Score in Context
| Title |
High-Throughput System for the Early Quantification of Major Architectural Traits in Olive Breeding Trials Using UAV Images and OBIA Techniques
|
|---|---|
| Published in |
Frontiers in Plant Science, November 2019
|
| DOI | 10.3389/fpls.2019.01472 |
| Pubmed ID | |
| Authors |
Ana I. de Castro, Pilar Rallo, María Paz Suárez, Jorge Torres-Sánchez, Laura Casanova, Francisco M. Jiménez-Brenes, Ana Morales-Sillero, María Rocío Jiménez, Francisca López-Granados |
X Demographics
The data shown below were collected from the profiles of 9 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 | 5 | 56% |
| Mexico | 2 | 22% |
| Brazil | 1 | 11% |
| Switzerland | 1 | 11% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 89% |
| Scientists | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 55 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 15% |
| Other | 4 | 7% |
| Student > Doctoral Student | 4 | 7% |
| Student > Ph. D. Student | 4 | 7% |
| Student > Master | 4 | 7% |
| Other | 11 | 20% |
| Unknown | 20 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 18 | 33% |
| Engineering | 3 | 5% |
| Computer Science | 2 | 4% |
| Social Sciences | 2 | 4% |
| Psychology | 1 | 2% |
| Other | 6 | 11% |
| Unknown | 23 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 23 January 2020.
All research outputs
#6,395,882
of 25,163,238 outputs
Outputs from Frontiers in Plant Science
#3,322
of 24,162 outputs
Outputs of similar age
#126,006
of 470,851 outputs
Outputs of similar age from Frontiers in Plant Science
#96
of 441 outputs
Altmetric has tracked 25,163,238 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 24,162 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 86% 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 470,851 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 73% of its contemporaries.
We're also able to compare this research output to 441 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.