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Genetic diversity of male and female Chinese bayberry (Myrica rubra) populations and identification of sex-associated markers

Overview of attention for article published in BMC Genomics, May 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (56th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
32 Mendeley
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Title
Genetic diversity of male and female Chinese bayberry (Myrica rubra) populations and identification of sex-associated markers
Published in
BMC Genomics, May 2015
DOI 10.1186/s12864-015-1602-5
Pubmed ID
Authors

Hui-min Jia, Yun Jiao, Guo-yun Wang, Ying-hui Li, Hui-juan Jia, Hong-xia Wu, Chun-yan Chai, Xiao Dong, Yanping Guo, Liping Zhang, Qi-kang Gao, Wei Chen, Li-juan Song, Eric van de Weg, Zhong-shan Gao

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 16%
Student > Master 4 13%
Researcher 4 13%
Student > Bachelor 3 9%
Professor > Associate Professor 3 9%
Other 3 9%
Unknown 10 31%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 44%
Biochemistry, Genetics and Molecular Biology 2 6%
Environmental Science 2 6%
Social Sciences 1 3%
Medicine and Dentistry 1 3%
Other 0 0%
Unknown 12 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 July 2019.
All research outputs
#7,594,029
of 23,151,189 outputs
Outputs from BMC Genomics
#3,639
of 10,712 outputs
Outputs of similar age
#91,424
of 267,089 outputs
Outputs of similar age from BMC Genomics
#80
of 245 outputs
Altmetric has tracked 23,151,189 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 10,712 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 59% 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 267,089 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 56% of its contemporaries.
We're also able to compare this research output to 245 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 64% of its contemporaries.