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Attention Score in Context
| Title |
Allometric models for estimating the leaf area of lisianthus (Eustoma grandiflorum) using a non-destructive method
|
|---|---|
| Published in |
Revista Ceres, February 2022
|
| DOI | 10.1590/0034-737x202269010002 |
| Authors |
Marlon Gomes Dias, Toshik Iarley da Silva, João Everthon da Silva Ribeiro, José Antônio Saraiva Grossi, José Geraldo Barbosa |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 22 September 2023.
All research outputs
#4,840,893
of 25,392,582 outputs
Outputs from Revista Ceres
#5
of 44 outputs
Outputs of similar age
#114,229
of 517,864 outputs
Outputs of similar age from Revista Ceres
#1
of 1 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 44 research outputs from this source. They receive a mean Attention Score of 3.6. This one scored the same or higher as 39 of them.
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 517,864 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them