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Transcriptomic and proteomic analysis reveals mechanisms of low pollen-pistil compatibility during water lily cross breeding

Overview of attention for article published in BMC Plant Biology, December 2019
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2 X users

Citations

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15 Dimensions

Readers on

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14 Mendeley
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Title
Transcriptomic and proteomic analysis reveals mechanisms of low pollen-pistil compatibility during water lily cross breeding
Published in
BMC Plant Biology, December 2019
DOI 10.1186/s12870-019-2166-3
Pubmed ID
Authors

Chun-Qing Sun, Fa-Di Chen, Nian-Jun Teng, Yue-Mei Yao, Xi Shan, Zhong-Liang Dai

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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 2 14%
Student > Master 2 14%
Researcher 2 14%
Student > Ph. D. Student 1 7%
Unspecified 1 7%
Other 2 14%
Unknown 4 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 43%
Unspecified 1 7%
Veterinary Science and Veterinary Medicine 1 7%
Biochemistry, Genetics and Molecular Biology 1 7%
Medicine and Dentistry 1 7%
Other 0 0%
Unknown 4 29%
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 01 April 2020.
All research outputs
#18,703,173
of 23,179,757 outputs
Outputs from BMC Plant Biology
#2,104
of 3,296 outputs
Outputs of similar age
#337,154
of 459,251 outputs
Outputs of similar age from BMC Plant Biology
#81
of 130 outputs
Altmetric has tracked 23,179,757 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 3,296 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 23rd percentile – i.e., 23% 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 459,251 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 130 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.