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Identification of quantitative trait loci (QTLs) and candidate genes for seed shape and 100-seed weight in soybean [Glycine max (L.) Merr.]

Overview of attention for article published in Frontiers in Plant Science, January 2023
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2 X users

Citations

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11 Dimensions

Readers on

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9 Mendeley
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Title
Identification of quantitative trait loci (QTLs) and candidate genes for seed shape and 100-seed weight in soybean [Glycine max (L.) Merr.]
Published in
Frontiers in Plant Science, January 2023
DOI 10.3389/fpls.2022.1074245
Pubmed ID
Authors

Rahul Kumar, Manisha Saini, Meniari Taku, Pulak Debbarma, Rohit Kumar Mahto, Ayyagari Ramlal, Deepshikha Sharma, Ambika Rajendran, Renu Pandey, Kishor Gaikwad, S. K. Lal, Akshay Talukdar

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 22%
Student > Bachelor 1 11%
Unknown 6 67%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 22%
Biochemistry, Genetics and Molecular Biology 1 11%
Unknown 6 67%
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 04 January 2023.
All research outputs
#18,947,527
of 23,485,296 outputs
Outputs from Frontiers in Plant Science
#14,662
of 21,498 outputs
Outputs of similar age
#294,332
of 430,663 outputs
Outputs of similar age from Frontiers in Plant Science
#916
of 1,343 outputs
Altmetric has tracked 23,485,296 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 21,498 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 19th percentile – i.e., 19% 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 430,663 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,343 others from the same source and published within six weeks on either side of this one. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.