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Identification of QTL Combinations that Cause Spikelet Sterility in Rice Derived from Interspecific Crosses

Overview of attention for article published in Rice, December 2021
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  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
5 Mendeley
Title
Identification of QTL Combinations that Cause Spikelet Sterility in Rice Derived from Interspecific Crosses
Published in
Rice, December 2021
DOI 10.1186/s12284-021-00540-6
Pubmed ID
Authors

Chang-Min Lee, Jung-Pil Suh, Hyun-Su Park, Man-Kee Baek, O-Young Jeong, Song-Joong Yun, Young-Chan Cho, Suk-Man Kim

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters 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 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 %
Professor 1 20%
Student > Master 1 20%
Unknown 3 60%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 40%
Pharmacology, Toxicology and Pharmaceutical Science 1 20%
Unknown 2 40%

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 11 December 2021.
All research outputs
#14,346,761
of 21,353,399 outputs
Outputs from Rice
#161
of 358 outputs
Outputs of similar age
#268,373
of 463,404 outputs
Outputs of similar age from Rice
#19
of 50 outputs
Altmetric has tracked 21,353,399 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 358 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 43rd percentile – i.e., 43% 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 463,404 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.