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Adaptability of Millets and Landscapes: Ancient Cultivation in North-Central Asia

Overview of attention for article published in Agronomy, November 2023
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#44 of 4,942)
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

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51 X users

Citations

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5 Dimensions

Readers on

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5 Mendeley
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Title
Adaptability of Millets and Landscapes: Ancient Cultivation in North-Central Asia
Published in
Agronomy, November 2023
DOI 10.3390/agronomy13112848
Authors

Alicia R. Ventresca-Miller, Shevan Wilkin, Rachel Smithers, Kara Larson, Robert Spengler, Ashleigh Haruda, Nikolay Kradin, Bilikto Bazarov, Denis Miyagashev, Tserendorj Odbaatar, Tsagaan Turbat, Elena Zhambaltarova, Prokopii Konovalov, Jamsranjav Bayarsaikhan, Anke Hein, Peter Hommel, Brendan Nash, Ayushi Nayak, Nils Vanwezer, Bryan Miller, Ricardo Fernandes, Nicole Boivin, Patrick Roberts

X Demographics

X Demographics

The data shown below were collected from the profiles of 51 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Other 1 20%
Student > Ph. D. Student 1 20%
Student > Master 1 20%
Researcher 1 20%
Professor > Associate Professor 1 20%
Other 0 0%
Readers by discipline Count As %
Arts and Humanities 2 40%
Biochemistry, Genetics and Molecular Biology 2 40%
Agricultural and Biological Sciences 1 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 36. 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 06 January 2024.
All research outputs
#1,178,472
of 26,412,982 outputs
Outputs from Agronomy
#44
of 4,942 outputs
Outputs of similar age
#19,865
of 392,261 outputs
Outputs of similar age from Agronomy
#1
of 169 outputs
Altmetric has tracked 26,412,982 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,942 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done particularly well, scoring higher than 99% 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 392,261 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 94% of its contemporaries.
We're also able to compare this research output to 169 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 99% of its contemporaries.