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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Ensemble machine learning-based recommendation system for effective prediction of suitable agricultural crop cultivation
|
|---|---|
| Published in |
Frontiers in Plant Science, August 2023
|
| DOI | 10.3389/fpls.2023.1234555 |
| Pubmed ID | |
| Authors |
Mahmudul Hasan, Md Abu Marjan, Md Palash Uddin, Masud Ibn Afjal, Seifedine Kardy, Shaoqi Ma, Yunyoung Nam |
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 % |
|---|---|---|
| Mexico | 1 | 33% |
| India | 1 | 33% |
| Switzerland | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 2 | 6% |
| Lecturer | 2 | 6% |
| Student > Bachelor | 2 | 6% |
| Professor | 1 | 3% |
| Student > Master | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 25 | 74% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 15% |
| Agricultural and Biological Sciences | 2 | 6% |
| Unspecified | 1 | 3% |
| Veterinary Science and Veterinary Medicine | 1 | 3% |
| Engineering | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 24 | 71% |
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 11 August 2023.
All research outputs
#15,952,324
of 25,331,507 outputs
Outputs from Frontiers in Plant Science
#9,336
of 24,384 outputs
Outputs of similar age
#167,413
of 346,610 outputs
Outputs of similar age from Frontiers in Plant Science
#190
of 902 outputs
Altmetric has tracked 25,331,507 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 24,384 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 346,610 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 51% of its contemporaries.
We're also able to compare this research output to 902 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.