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Integration of QTL Mapping and Gene Fishing Techniques to Dissect the Multi-Main Stem Trait in Rapeseed (Brassica napus L.)

Overview of attention for article published in Frontiers in Plant Science, September 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

twitter
6 X users

Readers on

mendeley
23 Mendeley
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Title
Integration of QTL Mapping and Gene Fishing Techniques to Dissect the Multi-Main Stem Trait in Rapeseed (Brassica napus L.)
Published in
Frontiers in Plant Science, September 2019
DOI 10.3389/fpls.2019.01152
Pubmed ID
Authors

Weiguo Zhao, Hongbo Chao, Lina Zhang, Na Ta, Yajun Zhao, Baojun Li, Kai Zhang, Zhoubo Guan, Dalin Hou, Kang Chen, Huaixin Li, Libin Zhang, Hao Wang, Maoteng Li

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 22%
Student > Master 4 17%
Other 2 9%
Student > Bachelor 2 9%
Professor > Associate Professor 2 9%
Other 2 9%
Unknown 6 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 48%
Biochemistry, Genetics and Molecular Biology 3 13%
Nursing and Health Professions 2 9%
Psychology 1 4%
Medicine and Dentistry 1 4%
Other 0 0%
Unknown 5 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 17 October 2019.
All research outputs
#13,072,573
of 23,577,654 outputs
Outputs from Frontiers in Plant Science
#5,332
of 21,632 outputs
Outputs of similar age
#154,640
of 344,545 outputs
Outputs of similar age from Frontiers in Plant Science
#161
of 374 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 21,632 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 74% 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 344,545 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 374 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 55% of its contemporaries.