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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A robust and light-weight transfer learning-based architecture for accurate detection of leaf diseases across multiple plants using less amount of images
|
|---|---|
| Published in |
Frontiers in Plant Science, January 2024
|
| DOI | 10.3389/fpls.2023.1321877 |
| Pubmed ID | |
| Authors |
Md Khairul Alam Mazumder, M F Mridha, Sultan Alfarhood, Mejdl Safran, Md Abdullah-Al-Jubair, Dunren Che |
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 % |
|---|---|---|
| Switzerland | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 6 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 4 | 67% |
| Student > Master | 1 | 17% |
| Unknown | 1 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 4 | 67% |
| Computer Science | 1 | 17% |
| Unknown | 1 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 13 January 2024.
All research outputs
#20,472,313
of 25,159,758 outputs
Outputs from Frontiers in Plant Science
#16,342
of 24,150 outputs
Outputs of similar age
#122,221
of 177,859 outputs
Outputs of similar age from Frontiers in Plant Science
#177
of 365 outputs
Altmetric has tracked 25,159,758 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 24,150 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 19th percentile – i.e., 19% 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 177,859 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 365 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.