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X Demographics
Mendeley readers
Attention Score in Context
| Title |
How Can Unmanned Aerial Vehicles Be Used for Detecting Weeds in Agricultural Fields?
|
|---|---|
| Published in |
Agriculture, October 2021
|
| DOI | 10.3390/agriculture11101004 |
| Authors |
Nur Adibah Mohidem, Nik Norasma Che’Ya, Abdul Shukor Juraimi, Wan Fazilah Fazlil Ilahi, Muhammad Huzaifah Mohd Roslim, Nursyazyla Sulaiman, Mohammadmehdi Saberioon, Nisfariza Mohd Noor |
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 % |
|---|---|---|
| United States | 1 | 33% |
| Switzerland | 1 | 33% |
| Germany | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 100 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 11% |
| Student > Master | 9 | 9% |
| Researcher | 8 | 8% |
| Student > Bachelor | 7 | 7% |
| Other | 7 | 7% |
| Other | 12 | 12% |
| Unknown | 46 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 19 | 19% |
| Engineering | 11 | 11% |
| Computer Science | 10 | 10% |
| Environmental Science | 3 | 3% |
| Earth and Planetary Sciences | 3 | 3% |
| Other | 8 | 8% |
| Unknown | 46 | 46% |
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 08 June 2023.
All research outputs
#17,345,186
of 25,837,817 outputs
Outputs from Agriculture
#964
of 3,075 outputs
Outputs of similar age
#250,756
of 440,512 outputs
Outputs of similar age from Agriculture
#56
of 219 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,075 research outputs from this source. They receive a mean Attention Score of 2.6. This one has gotten more attention than average, scoring higher than 65% 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 440,512 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 219 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 71% of its contemporaries.