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RAD-Seq-Based High-Density Linkage Maps Construction and Quantitative Trait Loci Mapping of Flowering Time Trait in Alfalfa (Medicago sativa L.)

Overview of attention for article published in Frontiers in Plant Science, May 2022
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Mentioned by

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2 X users

Citations

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6 Dimensions

Readers on

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3 Mendeley
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Title
RAD-Seq-Based High-Density Linkage Maps Construction and Quantitative Trait Loci Mapping of Flowering Time Trait in Alfalfa (Medicago sativa L.)
Published in
Frontiers in Plant Science, May 2022
DOI 10.3389/fpls.2022.899681
Pubmed ID
Authors

Xueqian Jiang, Tianhui Yang, Fan Zhang, Xijiang Yang, Changfu Yang, Fei He, Ruicai Long, Ting Gao, Yiwei Jiang, Qingchuan Yang, Zhen Wang, Junmei Kang

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 33%
Student > Ph. D. Student 1 33%
Unknown 1 33%
Readers by discipline Count As %
Agricultural and Biological Sciences 1 33%
Medicine and Dentistry 1 33%
Unknown 1 33%
Attention Score in Context

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 26 June 2022.
All research outputs
#17,719,424
of 22,753,345 outputs
Outputs from Frontiers in Plant Science
#11,911
of 20,058 outputs
Outputs of similar age
#292,823
of 437,658 outputs
Outputs of similar age from Frontiers in Plant Science
#684
of 1,317 outputs
Altmetric has tracked 22,753,345 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 20,058 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 32nd percentile – i.e., 32% 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 437,658 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,317 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.