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Exploiting genome variation to improve next-generation sequencing data analysis and genome editing efficiency in Populus tremula × alba 717-1B4

Overview of attention for article published in Tree Genetics & Genomes, July 2015
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

twitter
1 X user
facebook
1 Facebook page

Citations

dimensions_citation
39 Dimensions

Readers on

mendeley
44 Mendeley
citeulike
1 CiteULike
Title
Exploiting genome variation to improve next-generation sequencing data analysis and genome editing efficiency in Populus tremula × alba 717-1B4
Published in
Tree Genetics & Genomes, July 2015
DOI 10.1007/s11295-015-0907-5
Authors

Liang-Jiao Xue, Magdy S. Alabady, Mohammad Mohebbi, Chung-Jui Tsai

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 2%
France 1 2%
Unknown 42 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 25%
Student > Doctoral Student 6 14%
Researcher 5 11%
Student > Master 5 11%
Student > Bachelor 4 9%
Other 8 18%
Unknown 5 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 55%
Biochemistry, Genetics and Molecular Biology 10 23%
Unspecified 1 2%
Business, Management and Accounting 1 2%
Environmental Science 1 2%
Other 2 5%
Unknown 5 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 13 December 2017.
All research outputs
#14,819,430
of 22,821,814 outputs
Outputs from Tree Genetics & Genomes
#197
of 314 outputs
Outputs of similar age
#144,626
of 263,271 outputs
Outputs of similar age from Tree Genetics & Genomes
#2
of 7 outputs
Altmetric has tracked 22,821,814 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 314 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 36th percentile – i.e., 36% 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 263,271 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.