↓ Skip to main content

A high-density genetic map of cucumber derived from Specific Length Amplified Fragment sequencing (SLAF-seq)

Overview of attention for article published in Frontiers in Plant Science, January 2015
Altmetric Badge

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 (56th percentile)

Mentioned by

twitter
5 X users

Citations

dimensions_citation
80 Dimensions

Readers on

mendeley
34 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
A high-density genetic map of cucumber derived from Specific Length Amplified Fragment sequencing (SLAF-seq)
Published in
Frontiers in Plant Science, January 2015
DOI 10.3389/fpls.2014.00768
Pubmed ID
Authors

Xuewen Xu, Ruixue Xu, Biyun Zhu, Ting Yu, Wenqin Qu, Lu Lu, Qiang Xu, Xiaohua Qi, Xuehao Chen

Abstract

High-density genetic map provides an essential framework for accurate and efficient genome assembly and QTL fine mapping. Construction of high-density genetic maps appears more feasible since the advent of next-generation sequencing (NGS), which eases SNP discovery and high-throughput genotyping of large population. In this research, a high-density genetic map of cucumber (Cucumis sativus L.) was successfully constructed across an F2 population by a recently developed Specific Length Amplified Fragment sequencing (SLAF-seq) method. In total, 18.69 GB of data containing 93,460,000 paired-end reads were obtained after preprocessing. The average sequencing depth was 44.92 in the D8 (female parent), 42.16 in the Jin5-508 (male parent), and 5.01 in each progeny. 79,092 high-quality SLAFs were detected, of which 6784 SLAFs were polymorphic, and 1892 of the polymorphic markers met the requirements for constructing genetic map. The genetic map spanned 845.87 cm with an average genetic distance of 0.45 cm. It is a reliable linkage map for fine mapping and molecular breeding of cucumber for its high marker density and well-ordered markers.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
France 1 3%
Unknown 32 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 21%
Student > Doctoral Student 6 18%
Student > Master 4 12%
Researcher 3 9%
Student > Postgraduate 2 6%
Other 4 12%
Unknown 8 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 62%
Biochemistry, Genetics and Molecular Biology 3 9%
Business, Management and Accounting 1 3%
Engineering 1 3%
Unknown 8 24%
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 23 January 2015.
All research outputs
#16,047,334
of 25,374,647 outputs
Outputs from Frontiers in Plant Science
#9,646
of 24,598 outputs
Outputs of similar age
#199,026
of 358,917 outputs
Outputs of similar age from Frontiers in Plant Science
#84
of 219 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 24,598 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 56% 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 358,917 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 219 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 56% of its contemporaries.