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X Demographics
Mendeley readers
Attention Score in Context
| Title |
DeepFlower: a deep learning-based approach to characterize flowering patterns of cotton plants in the field
|
|---|---|
| Published in |
Plant Methods, December 2020
|
| DOI | 10.1186/s13007-020-00698-y |
| Pubmed ID | |
| Authors |
Yu Jiang, Changying Li, Rui Xu, Shangpeng Sun, Jon S. Robertson, Andrew H. Paterson |
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 % |
|---|---|---|
| United States | 2 | 15% |
| India | 2 | 15% |
| Israel | 1 | 8% |
| Sri Lanka | 1 | 8% |
| United Kingdom | 1 | 8% |
| Unknown | 6 | 46% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 54% |
| Scientists | 5 | 38% |
| Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 37 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 22% |
| Student > Doctoral Student | 3 | 8% |
| Unspecified | 3 | 8% |
| Lecturer | 2 | 5% |
| Professor | 2 | 5% |
| Other | 6 | 16% |
| Unknown | 13 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 10 | 27% |
| Unspecified | 3 | 8% |
| Computer Science | 2 | 5% |
| Business, Management and Accounting | 1 | 3% |
| Environmental Science | 1 | 3% |
| Other | 5 | 14% |
| Unknown | 15 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 21 May 2021.
All research outputs
#4,149,146
of 23,267,128 outputs
Outputs from Plant Methods
#237
of 1,101 outputs
Outputs of similar age
#110,814
of 508,622 outputs
Outputs of similar age from Plant Methods
#6
of 20 outputs
Altmetric has tracked 23,267,128 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,101 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 well, scoring higher than 78% 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 508,622 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 78% of its contemporaries.
We're also able to compare this research output to 20 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 70% of its contemporaries.