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X Demographics
Attention Score in Context
| Title |
Improving the prediction performance of leaf water content by coupling multi-source data with machine learning in rice (Oryza sativa L.)
|
|---|---|
| Published in |
Plant Methods, March 2024
|
| DOI | 10.1186/s13007-024-01168-5 |
| Pubmed ID | |
| Authors |
Xuenan Zhang, Haocong Xu, Yehong She, Chao Hu, Tiezhong Zhu, Lele Wang, Liquan Wu, Cuicui You, Jian Ke, Qiangqiang Zhang, Haibing He |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Saudi Arabia | 1 | 14% |
| Nigeria | 1 | 14% |
| Colombia | 1 | 14% |
| United Kingdom | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 71% |
| Scientists | 1 | 14% |
| Science communicators (journalists, bloggers, editors) | 1 | 14% |
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 20 May 2024.
All research outputs
#8,385,346
of 25,939,391 outputs
Outputs from Plant Methods
#539
of 1,302 outputs
Outputs of similar age
#103,605
of 330,415 outputs
Outputs of similar age from Plant Methods
#18
of 37 outputs
Altmetric has tracked 25,939,391 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 1,302 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has gotten more attention than average, scoring higher than 58% 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 330,415 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 37 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 51% of its contemporaries.