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Pollen-mediated gene flow promotes low nuclear genetic differentiation among populations of Cycas debaoensis (Cycadaceae)

Overview of attention for article published in Tree Genetics & Genomes, September 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#10 of 313)
  • High Attention Score compared to outputs of the same age (88th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

news
2 news outlets

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
5 Mendeley
Title
Pollen-mediated gene flow promotes low nuclear genetic differentiation among populations of Cycas debaoensis (Cycadaceae)
Published in
Tree Genetics & Genomes, September 2016
DOI 10.1007/s11295-016-1051-6
Authors

Yi-Qing Gong, Xun Gong

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 20%
Researcher 1 20%
Student > Master 1 20%
Unknown 2 40%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 40%
Agricultural and Biological Sciences 2 40%
Unknown 1 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 26 September 2016.
All research outputs
#2,144,564
of 22,889,074 outputs
Outputs from Tree Genetics & Genomes
#10
of 313 outputs
Outputs of similar age
#39,650
of 334,969 outputs
Outputs of similar age from Tree Genetics & Genomes
#2
of 9 outputs
Altmetric has tracked 22,889,074 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 313 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done particularly well, scoring higher than 96% 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 334,969 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.