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X Demographics
Mendeley readers
Attention Score in Context
| Title |
An advanced deep learning models-based plant disease detection: A review of recent research
|
|---|---|
| Published in |
Frontiers in Plant Science, March 2023
|
| DOI | 10.3389/fpls.2023.1158933 |
| Pubmed ID | |
| Authors |
Muhammad Shoaib, Babar Shah, Shaker EI-Sappagh, Akhtar Ali, Asad Ullah, Fayadh Alenezi, Tsanko Gechev, Tariq Hussain, Farman Ali |
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 % |
|---|---|---|
| Switzerland | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 191 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 191 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 16 | 8% |
| Student > Ph. D. Student | 13 | 7% |
| Researcher | 11 | 6% |
| Lecturer | 9 | 5% |
| Student > Bachelor | 6 | 3% |
| Other | 17 | 9% |
| Unknown | 119 | 62% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 32 | 17% |
| Engineering | 18 | 9% |
| Agricultural and Biological Sciences | 13 | 7% |
| Arts and Humanities | 1 | <1% |
| Environmental Science | 1 | <1% |
| Other | 6 | 3% |
| Unknown | 120 | 63% |
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 02 December 2023.
All research outputs
#15,737,631
of 24,927,532 outputs
Outputs from Frontiers in Plant Science
#9,409
of 23,845 outputs
Outputs of similar age
#206,975
of 409,050 outputs
Outputs of similar age from Frontiers in Plant Science
#370
of 1,060 outputs
Altmetric has tracked 24,927,532 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 23,845 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 55% 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 409,050 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,060 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 54% of its contemporaries.