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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Enhancing maize grain dry-down predictive models
|
|---|---|
| Published in |
Agricultural & Forest Meteorology, May 2023
|
| DOI | 10.1016/j.agrformet.2023.109427 |
| Authors |
Yésica D. Chazarreta, Ana J.P. Carcedo, Santiago Alvarez Prado, Ignacio Massigoge, Juan I. Amas, Javier A. Fernandez, Ignacio A. Ciampitti, Maria E. Otegui |
X Demographics
The data shown below were collected from the profiles of 35 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Argentina | 9 | 26% |
| United States | 3 | 9% |
| Paraguay | 2 | 6% |
| Australia | 2 | 6% |
| Germany | 1 | 3% |
| Canada | 1 | 3% |
| Uruguay | 1 | 3% |
| Mexico | 1 | 3% |
| Chile | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 14 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 32 | 91% |
| Scientists | 3 | 9% |
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 > Doctoral Student | 3 | 21% |
| Unspecified | 2 | 14% |
| Student > Ph. D. Student | 2 | 14% |
| Professor | 1 | 7% |
| Student > Master | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 4 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 7 | 50% |
| Unspecified | 2 | 14% |
| Engineering | 1 | 7% |
| Unknown | 4 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 28. 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 02 August 2023.
All research outputs
#1,404,588
of 25,394,764 outputs
Outputs from Agricultural & Forest Meteorology
#79
of 2,215 outputs
Outputs of similar age
#28,737
of 407,379 outputs
Outputs of similar age from Agricultural & Forest Meteorology
#3
of 53 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,215 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has done particularly well, scoring higher than 96% 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 407,379 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.