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 |
Automatic estimation of heading date of paddy rice using deep learning
|
|---|---|
| Published in |
Plant Methods, July 2019
|
| DOI | 10.1186/s13007-019-0457-1 |
| Pubmed ID | |
| Authors |
Sai Vikas Desai, Vineeth N. Balasubramanian, Tokihiro Fukatsu, Seishi Ninomiya, Wei Guo |
X Demographics
The data shown below were collected from the profiles of 8 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 Kingdom | 2 | 25% |
| Australia | 1 | 13% |
| South Africa | 1 | 13% |
| Japan | 1 | 13% |
| Ukraine | 1 | 13% |
| Netherlands | 1 | 13% |
| Unknown | 1 | 13% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 38% |
| Members of the public | 3 | 38% |
| Practitioners (doctors, other healthcare professionals) | 1 | 13% |
| Science communicators (journalists, bloggers, editors) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 105 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 13 | 12% |
| Researcher | 13 | 12% |
| Student > Ph. D. Student | 12 | 11% |
| Student > Doctoral Student | 8 | 8% |
| Lecturer | 7 | 7% |
| Other | 15 | 14% |
| Unknown | 37 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 25 | 24% |
| Computer Science | 15 | 14% |
| Engineering | 11 | 10% |
| Biochemistry, Genetics and Molecular Biology | 3 | 3% |
| Earth and Planetary Sciences | 2 | 2% |
| Other | 9 | 9% |
| Unknown | 40 | 38% |
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 15 July 2019.
All research outputs
#6,604,167
of 24,580,204 outputs
Outputs from Plant Methods
#379
of 1,183 outputs
Outputs of similar age
#110,414
of 351,258 outputs
Outputs of similar age from Plant Methods
#17
of 39 outputs
Altmetric has tracked 24,580,204 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,183 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 gotten more attention than average, scoring higher than 67% 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 351,258 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 68% of its contemporaries.
We're also able to compare this research output to 39 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 58% of its contemporaries.