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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Sorting biotic and abiotic stresses on wild rocket by leaf-image hyperspectral data mining with an artificial intelligence model
|
|---|---|
| Published in |
Plant Methods, April 2022
|
| DOI | 10.1186/s13007-022-00880-4 |
| Pubmed ID | |
| Authors |
Alejandra Navarro, Nicola Nicastro, Corrado Costa, Alfonso Pentangelo, Mariateresa Cardarelli, Luciano Ortenzi, Federico Pallottino, Teodoro Cardi, Catello Pane |
X Demographics
The data shown below were collected from the profiles of 11 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 Kingdom | 2 | 18% |
| Thailand | 1 | 9% |
| Germany | 1 | 9% |
| Ecuador | 1 | 9% |
| United States | 1 | 9% |
| Tanzania, United Republic of | 1 | 9% |
| Unknown | 4 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 91% |
| Science communicators (journalists, bloggers, editors) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 35 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 14% |
| Student > Ph. D. Student | 3 | 9% |
| Lecturer | 2 | 6% |
| Student > Doctoral Student | 2 | 6% |
| Student > Bachelor | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 20 | 57% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 7 | 20% |
| Arts and Humanities | 2 | 6% |
| Computer Science | 2 | 6% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Unspecified | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 21 | 60% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 17 June 2022.
All research outputs
#6,691,531
of 24,858,211 outputs
Outputs from Plant Methods
#385
of 1,212 outputs
Outputs of similar age
#127,486
of 435,271 outputs
Outputs of similar age from Plant Methods
#19
of 46 outputs
Altmetric has tracked 24,858,211 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,212 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has gotten more attention than average, scoring higher than 67% 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 435,271 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 70% of its contemporaries.
We're also able to compare this research output to 46 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 60% of its contemporaries.