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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 (59th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
24 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

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 21%
Researcher 4 17%
Student > Master 3 13%
Professor > Associate Professor 3 13%
Student > Bachelor 3 13%
Other 4 17%
Unknown 2 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 58%
Biochemistry, Genetics and Molecular Biology 2 8%
Unspecified 1 4%
Environmental Science 1 4%
Social Sciences 1 4%
Other 1 4%
Unknown 4 17%

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
#4,802,354
of 15,355,386 outputs
Outputs from BMC Genomics
#2,795
of 8,699 outputs
Outputs of similar age
#101,850
of 262,037 outputs
Outputs of similar age from BMC Genomics
#8
of 17 outputs
Altmetric has tracked 15,355,386 research outputs across all sources so far. This one is in the 48th percentile – i.e., 48% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,699 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 61% 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 262,037 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 59% of its contemporaries.
We're also able to compare this research output to 17 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 52% of its contemporaries.