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A Bivariate Mapping Model Identifies Major Covariation QTLs for Biomass Allocation Between Leaf and Stem Growth of Catalpa bungei

Overview of attention for article published in Frontiers in Genetics, November 2021
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

twitter
1 X user
peer_reviews
1 peer review site

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
3 Mendeley
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Title
A Bivariate Mapping Model Identifies Major Covariation QTLs for Biomass Allocation Between Leaf and Stem Growth of Catalpa bungei
Published in
Frontiers in Genetics, November 2021
DOI 10.3389/fgene.2021.758209
Pubmed ID
Authors

Miaomiao Zhang, Nan Lu, Tianqing Zhu, Guijuan Yang, Guanzheng Qu, Chaozhong Shi, Yue Fei, Bingyang Liu, Wenjun Ma, Junhui Wang

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 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 %
Unspecified 1 33%
Lecturer > Senior Lecturer 1 33%
Unknown 1 33%
Readers by discipline Count As %
Unspecified 1 33%
Agricultural and Biological Sciences 1 33%
Unknown 1 33%
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 12 January 2022.
All research outputs
#14,843,597
of 22,858,915 outputs
Outputs from Frontiers in Genetics
#4,488
of 11,879 outputs
Outputs of similar age
#259,633
of 502,798 outputs
Outputs of similar age from Frontiers in Genetics
#210
of 728 outputs
Altmetric has tracked 22,858,915 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,879 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 54% 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 502,798 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 728 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 63% of its contemporaries.