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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Revolutionizing agriculture with artificial intelligence: plant disease detection methods, applications, and their limitations
|
|---|---|
| Published in |
Frontiers in Plant Science, March 2024
|
| DOI | 10.3389/fpls.2024.1356260 |
| Pubmed ID | |
| Authors |
Abbas Jafar, Nabila Bibi, Rizwan Ali Naqvi, Abolghasem Sadeghi-Niaraki, Daesik Jeong |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ecuador | 1 | 20% |
| Switzerland | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 58 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 3 | 5% |
| Lecturer > Senior Lecturer | 2 | 3% |
| Lecturer | 2 | 3% |
| Researcher | 2 | 3% |
| Student > Master | 2 | 3% |
| Other | 5 | 9% |
| Unknown | 42 | 72% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 10% |
| Agricultural and Biological Sciences | 4 | 7% |
| Engineering | 2 | 3% |
| Unspecified | 1 | 2% |
| Social Sciences | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 43 | 74% |
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 06 April 2024.
All research outputs
#14,712,621
of 25,653,515 outputs
Outputs from Frontiers in Plant Science
#6,434
of 24,910 outputs
Outputs of similar age
#87,265
of 245,621 outputs
Outputs of similar age from Frontiers in Plant Science
#57
of 553 outputs
Altmetric has tracked 25,653,515 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 24,910 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 73% 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 245,621 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 64% of its contemporaries.
We're also able to compare this research output to 553 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.