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X Demographics
Mendeley readers
Attention Score in Context
| Title |
High-throughput soybean seeds phenotyping with convolutional neural networks and transfer learning
|
|---|---|
| Published in |
Plant Methods, May 2021
|
| DOI | 10.1186/s13007-021-00749-y |
| Pubmed ID | |
| Authors |
Si Yang, Lihua Zheng, Peng He, Tingting Wu, Shi Sun, Minjuan Wang |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sudan | 1 | 14% |
| United Kingdom | 1 | 14% |
| Unknown | 5 | 71% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 57% |
| Scientists | 2 | 29% |
| Science communicators (journalists, bloggers, editors) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 48 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 15% |
| Student > Ph. D. Student | 5 | 10% |
| Student > Master | 4 | 8% |
| Lecturer | 3 | 6% |
| Student > Bachelor | 3 | 6% |
| Other | 6 | 13% |
| Unknown | 20 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 12 | 25% |
| Computer Science | 9 | 19% |
| Unspecified | 2 | 4% |
| Environmental Science | 1 | 2% |
| Business, Management and Accounting | 1 | 2% |
| Other | 6 | 13% |
| Unknown | 17 | 35% |
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 07 July 2021.
All research outputs
#6,371,375
of 23,308,124 outputs
Outputs from Plant Methods
#380
of 1,104 outputs
Outputs of similar age
#136,934
of 439,638 outputs
Outputs of similar age from Plant Methods
#7
of 32 outputs
Altmetric has tracked 23,308,124 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 1,104 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 gotten more attention than average, scoring higher than 65% 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 439,638 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 32 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.