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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Crop Pest Recognition in Real Agricultural Environment Using Convolutional Neural Networks by a Parallel Attention Mechanism
|
|---|---|
| Published in |
Frontiers in Plant Science, February 2022
|
| DOI | 10.3389/fpls.2022.839572 |
| Pubmed ID | |
| Authors |
Shengyi Zhao, Jizhan Liu, Zongchun Bai, Chunhua Hu, Yujie Jin |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 12% |
| Student > Bachelor | 2 | 8% |
| Unspecified | 1 | 4% |
| Lecturer > Senior Lecturer | 1 | 4% |
| Student > Doctoral Student | 1 | 4% |
| Other | 3 | 12% |
| Unknown | 14 | 56% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 4 | 16% |
| Computer Science | 4 | 16% |
| Unspecified | 1 | 4% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Social Sciences | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 13 | 52% |
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 21 February 2022.
All research outputs
#14,398,541
of 23,172,045 outputs
Outputs from Frontiers in Plant Science
#8,080
of 20,877 outputs
Outputs of similar age
#214,721
of 440,410 outputs
Outputs of similar age from Frontiers in Plant Science
#344
of 1,081 outputs
Altmetric has tracked 23,172,045 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 20,877 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 60% 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 440,410 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 50% of its contemporaries.
We're also able to compare this research output to 1,081 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 66% of its contemporaries.