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.
Twitter Demographics
Mendeley readers
Attention Score in Context
| Title |
Segmentation of structural parts of rosebush plants with 3D point-based deep learning methods
|
|---|---|
| Published in |
Plant Methods, February 2022
|
| DOI | 10.1186/s13007-022-00857-3 |
| Pubmed ID | |
| Authors |
Kaya Turgut, Helin Dutagaci, Gilles Galopin, David Rousseau |
Twitter Demographics
The data shown below were collected from the profiles of 20 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 15% |
| France | 2 | 10% |
| Japan | 2 | 10% |
| Germany | 1 | 5% |
| Mexico | 1 | 5% |
| India | 1 | 5% |
| United Kingdom | 1 | 5% |
| Chile | 1 | 5% |
| Unknown | 8 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 75% |
| Scientists | 3 | 15% |
| Science communicators (journalists, bloggers, editors) | 2 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 18% |
| Student > Doctoral Student | 3 | 9% |
| Student > Master | 3 | 9% |
| Student > Bachelor | 2 | 6% |
| Unspecified | 2 | 6% |
| Other | 4 | 12% |
| Unknown | 14 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 18% |
| Agricultural and Biological Sciences | 6 | 18% |
| Engineering | 4 | 12% |
| Unspecified | 2 | 6% |
| Biochemistry, Genetics and Molecular Biology | 2 | 6% |
| Other | 0 | 0% |
| Unknown | 14 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 04 April 2022.
All research outputs
#3,516,261
of 24,093,053 outputs
Outputs from Plant Methods
#189
of 1,152 outputs
Outputs of similar age
#81,193
of 429,802 outputs
Outputs of similar age from Plant Methods
#16
of 44 outputs
Altmetric has tracked 24,093,053 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,152 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has done well, scoring higher than 83% 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 429,802 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 81% of its contemporaries.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.