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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Rice bacterial blight resistant cultivar selection based on visible/near-infrared spectrum and deep learning
|
|---|---|
| Published in |
Plant Methods, April 2022
|
| DOI | 10.1186/s13007-022-00882-2 |
| Pubmed ID | |
| Authors |
Jinnuo Zhang, Xuping Feng, Qingguan Wu, Guofeng Yang, Mingzhu Tao, Yong Yang, Yong He |
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 % |
|---|---|---|
| Switzerland | 1 | 17% |
| Venezuela, Bolivarian Republic of | 1 | 17% |
| United Kingdom | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer | 4 | 10% |
| Student > Master | 4 | 10% |
| Student > Bachelor | 3 | 8% |
| Other | 2 | 5% |
| Student > Doctoral Student | 2 | 5% |
| Other | 3 | 8% |
| Unknown | 22 | 55% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 9 | 23% |
| Computer Science | 4 | 10% |
| Engineering | 2 | 5% |
| Medicine and Dentistry | 1 | 3% |
| Unknown | 24 | 60% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 26 June 2022.
All research outputs
#12,605,998
of 22,753,345 outputs
Outputs from Plant Methods
#534
of 1,080 outputs
Outputs of similar age
#159,924
of 435,720 outputs
Outputs of similar age from Plant Methods
#30
of 50 outputs
Altmetric has tracked 22,753,345 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,080 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
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 435,720 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 62% of its contemporaries.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.