| Title |
Validation of plant part measurements using a 3D reconstruction method suitable for high-throughput seedling phenotyping
|
|---|---|
| Published in |
Machine Vision and Applications, November 2015
|
| DOI | 10.1007/s00138-015-0727-5 |
| Authors |
Franck Golbach, Gert Kootstra, Sanja Damjanovic, Gerwoud Otten, Rick van de Zedde |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
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 % |
|---|---|---|
| Spain | 1 | <1% |
| Canada | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 98 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 19 | 19% |
| Student > Ph. D. Student | 19 | 19% |
| Researcher | 17 | 17% |
| Student > Bachelor | 6 | 6% |
| Student > Doctoral Student | 6 | 6% |
| Other | 9 | 9% |
| Unknown | 25 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 32 | 32% |
| Computer Science | 19 | 19% |
| Engineering | 10 | 10% |
| Biochemistry, Genetics and Molecular Biology | 3 | 3% |
| Earth and Planetary Sciences | 3 | 3% |
| Other | 6 | 6% |
| Unknown | 28 | 28% |
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 24 November 2015.
All research outputs
#13,687,586
of 23,794,258 outputs
Outputs from Machine Vision and Applications
#334
of 551 outputs
Outputs of similar age
#184,301
of 390,534 outputs
Outputs of similar age from Machine Vision and Applications
#6
of 8 outputs
Altmetric has tracked 23,794,258 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 551 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 39th percentile – i.e., 39% 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 390,534 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 52% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.