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Methodological approach for predicting and mapping the phenological adaptation of tropical maize (Zea mays L.) using multi-environment trials

Overview of attention for article published in Plant Methods, December 2018
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Mentioned by

twitter
1 tweeter

Citations

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5 Dimensions

Readers on

mendeley
38 Mendeley
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Title
Methodological approach for predicting and mapping the phenological adaptation of tropical maize (Zea mays L.) using multi-environment trials
Published in
Plant Methods, December 2018
DOI 10.1186/s13007-018-0375-7
Pubmed ID
Authors

Henri E. Z. Tonnang, Dan Makumbi, Peter Craufurd

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 24%
Student > Master 6 16%
Student > Ph. D. Student 3 8%
Student > Bachelor 3 8%
Professor > Associate Professor 3 8%
Other 3 8%
Unknown 11 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 29%
Environmental Science 7 18%
Earth and Planetary Sciences 2 5%
Economics, Econometrics and Finance 1 3%
Psychology 1 3%
Other 4 11%
Unknown 12 32%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 07 December 2018.
All research outputs
#11,107,114
of 13,994,718 outputs
Outputs from Plant Methods
#526
of 624 outputs
Outputs of similar age
#271,976
of 367,930 outputs
Outputs of similar age from Plant Methods
#100
of 116 outputs
Altmetric has tracked 13,994,718 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 624 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one is in the 3rd percentile – i.e., 3% of its peers scored the same or lower than it.
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 367,930 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 116 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.