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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Deep learning for detecting herbicide weed control spectrum in turfgrass
|
|---|---|
| Published in |
Plant Methods, July 2022
|
| DOI | 10.1186/s13007-022-00929-4 |
| Pubmed ID | |
| Authors |
Xiaojun Jin, Muthukumar Bagavathiannan, Aniruddha Maity, Yong Chen, Jialin Yu |
X Demographics
The data shown below were collected from the profiles of 11 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 | 18% |
| United Kingdom | 1 | 9% |
| Unknown | 8 | 73% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 82% |
| Science communicators (journalists, bloggers, editors) | 1 | 9% |
| Scientists | 1 | 9% |
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 | 5 | 15% |
| Lecturer | 2 | 6% |
| Unspecified | 2 | 6% |
| Student > Doctoral Student | 1 | 3% |
| Student > Bachelor | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 20 | 59% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 8 | 24% |
| Unspecified | 1 | 3% |
| Environmental Science | 1 | 3% |
| Business, Management and Accounting | 1 | 3% |
| Computer Science | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 20 | 59% |
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 08 September 2022.
All research outputs
#6,907,021
of 25,163,238 outputs
Outputs from Plant Methods
#415
of 1,237 outputs
Outputs of similar age
#122,733
of 425,479 outputs
Outputs of similar age from Plant Methods
#18
of 33 outputs
Altmetric has tracked 25,163,238 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 1,237 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 66% 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 425,479 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 70% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.