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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Deep convolutional neural networks for image-based Convolvulus sepium detection in sugar beet fields
|
|---|---|
| Published in |
Plant Methods, March 2020
|
| DOI | 10.1186/s13007-020-00570-z |
| Pubmed ID | |
| Authors |
Junfeng Gao, Andrew P. French, Michael P. Pound, Yong He, Tony P. Pridmore, Jan G. Pieters |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 140 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 140 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 15% |
| Researcher | 15 | 11% |
| Student > Master | 12 | 9% |
| Student > Bachelor | 8 | 6% |
| Student > Doctoral Student | 8 | 6% |
| Other | 15 | 11% |
| Unknown | 61 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 34 | 24% |
| Agricultural and Biological Sciences | 18 | 13% |
| Engineering | 16 | 11% |
| Earth and Planetary Sciences | 4 | 3% |
| Environmental Science | 3 | 2% |
| Other | 11 | 8% |
| Unknown | 54 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 28 March 2022.
All research outputs
#14,640,894
of 23,435,471 outputs
Outputs from Plant Methods
#729
of 1,109 outputs
Outputs of similar age
#199,535
of 362,867 outputs
Outputs of similar age from Plant Methods
#31
of 44 outputs
Altmetric has tracked 23,435,471 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,109 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one is in the 30th percentile – i.e., 30% 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 362,867 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.