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RppM, Encoding a Typical CC-NBS-LRR Protein, Confers Resistance to Southern Corn Rust in Maize

Overview of attention for article published in Frontiers in Plant Science, July 2022
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

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3 X users

Citations

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13 Dimensions

Readers on

mendeley
9 Mendeley
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Title
RppM, Encoding a Typical CC-NBS-LRR Protein, Confers Resistance to Southern Corn Rust in Maize
Published in
Frontiers in Plant Science, July 2022
DOI 10.3389/fpls.2022.951318
Pubmed ID
Authors

Shuai Wang, Xiaqing Wang, Ruyang Zhang, Qian Liu, Xuan Sun, Jidong Wang, Yuandong Wang, Jinfeng Xing, Ya Liu, Yanxin Zhao, Zi Shi, Aiguo Su, Chunhui Li, Senlin Xiao, Yanyan Jiao, Zhiyong Li, Ronghuan Wang, Wei Song, Jiuran Zhao

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 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%
Professor 1 11%
Unspecified 1 11%
Student > Ph. D. Student 1 11%
Student > Master 1 11%
Other 0 0%
Unknown 3 33%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 44%
Unspecified 1 11%
Environmental Science 1 11%
Medicine and Dentistry 1 11%
Unknown 2 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 16 August 2022.
All research outputs
#15,312,968
of 24,279,062 outputs
Outputs from Frontiers in Plant Science
#9,086
of 22,780 outputs
Outputs of similar age
#211,778
of 423,951 outputs
Outputs of similar age from Frontiers in Plant Science
#368
of 1,321 outputs
Altmetric has tracked 24,279,062 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,780 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 55% 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 423,951 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,321 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.