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 |
Applicability of computer vision in seed identification: deep learning, random forest, and support vector machine classification algorithms
|
|---|---|
| Published in |
Acta Botanica Brasilica, March 2021
|
| DOI | 10.1590/0102-33062020abb0361 |
| Authors |
Francielli Bao, Deborah Bambil |
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 | 2 | 33% |
| Australia | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Scientists | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 27 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 4 | 15% |
| Student > Master | 4 | 15% |
| Student > Ph. D. Student | 2 | 7% |
| Student > Bachelor | 1 | 4% |
| Lecturer | 1 | 4% |
| Other | 2 | 7% |
| Unknown | 13 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 4 | 15% |
| Computer Science | 4 | 15% |
| Unspecified | 2 | 7% |
| Engineering | 2 | 7% |
| Earth and Planetary Sciences | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 13 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 05 February 2022.
All research outputs
#7,126,533
of 25,392,582 outputs
Outputs from Acta Botanica Brasilica
#25
of 380 outputs
Outputs of similar age
#153,822
of 451,361 outputs
Outputs of similar age from Acta Botanica Brasilica
#1
of 1 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 380 research outputs from this source. They receive a mean Attention Score of 2.3. 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 451,361 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 65% of its contemporaries.
We're also able to compare this research output to 1 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