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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Unsupervised analysis of NIRS spectra to assess complex plant traits: leaf senescence as a use case
|
|---|---|
| Published in |
Plant Methods, August 2022
|
| DOI | 10.1186/s13007-022-00927-6 |
| Pubmed ID | |
| Authors |
Héloïse Villesseche, Martin Ecarnot, Elsa Ballini, Ryad Bendoula, Nathalie Gorretta, Pierre Roumet |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 13% |
| Switzerland | 1 | 13% |
| United States | 1 | 13% |
| United Kingdom | 1 | 13% |
| Unknown | 4 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 63% |
| Scientists | 2 | 25% |
| Science communicators (journalists, bloggers, editors) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 2 | 14% |
| Student > Ph. D. Student | 2 | 14% |
| Researcher | 2 | 14% |
| Student > Master | 1 | 7% |
| Student > Doctoral Student | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 6 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 6 | 43% |
| Biochemistry, Genetics and Molecular Biology | 1 | 7% |
| Arts and Humanities | 1 | 7% |
| Unknown | 6 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 13 October 2022.
All research outputs
#7,078,321
of 24,614,554 outputs
Outputs from Plant Methods
#442
of 1,186 outputs
Outputs of similar age
#129,695
of 422,547 outputs
Outputs of similar age from Plant Methods
#17
of 25 outputs
Altmetric has tracked 24,614,554 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,186 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has gotten more attention than average, scoring higher than 62% 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 422,547 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 68% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.