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Identification of vital candidate microRNA/mRNA pairs regulating ovule development using high-throughput sequencing in hazel

Overview of attention for article published in BMC Developmental Biology, July 2020
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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3 X users

Citations

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11 Dimensions

Readers on

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10 Mendeley
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Title
Identification of vital candidate microRNA/mRNA pairs regulating ovule development using high-throughput sequencing in hazel
Published in
BMC Developmental Biology, July 2020
DOI 10.1186/s12861-020-00219-z
Pubmed ID
Authors

Jianfeng Liu, Qizheng Luo, Xingzheng Zhang, Qiang Zhang, Yunqing Cheng

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 10%
Student > Ph. D. Student 1 10%
Researcher 1 10%
Other 1 10%
Student > Master 1 10%
Other 0 0%
Unknown 5 50%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 20%
Unspecified 1 10%
Unknown 7 70%
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 02 July 2020.
All research outputs
#15,616,469
of 23,220,133 outputs
Outputs from BMC Developmental Biology
#262
of 371 outputs
Outputs of similar age
#249,034
of 398,610 outputs
Outputs of similar age from BMC Developmental Biology
#3
of 6 outputs
Altmetric has tracked 23,220,133 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 371 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 21st percentile – i.e., 21% 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 398,610 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.