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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Modeling the spatial-spectral characteristics of plants for nutrient status identification using hyperspectral data and deep learning methods
|
|---|---|
| Published in |
Frontiers in Plant Science, October 2023
|
| DOI | 10.3389/fpls.2023.1209500 |
| Pubmed ID | |
| Authors |
Frank Gyan Okyere, Daniel Cudjoe, Pouria Sadeghi-Tehran, Nicolas Virlet, Andrew B. Riche, March Castle, Latifa Greche, Daniel Simms, Manal Mhada, Fady Mohareb, Malcolm John Hawkesford |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 13% |
| Student > Ph. D. Student | 2 | 13% |
| Lecturer | 2 | 13% |
| Unspecified | 1 | 6% |
| Student > Master | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 8 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 25% |
| Agricultural and Biological Sciences | 2 | 13% |
| Environmental Science | 1 | 6% |
| Unspecified | 1 | 6% |
| Physics and Astronomy | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 7 | 44% |
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 04 February 2024.
All research outputs
#19,884,062
of 25,305,422 outputs
Outputs from Frontiers in Plant Science
#14,242
of 24,346 outputs
Outputs of similar age
#232,624
of 348,152 outputs
Outputs of similar age from Frontiers in Plant Science
#331
of 876 outputs
Altmetric has tracked 25,305,422 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 24,346 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 32nd percentile – i.e., 32% 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 348,152 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 876 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 53% of its contemporaries.