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Identification, characterization, and utilization of genome-wide simple sequence repeats to identify a QTL for acidity in apple

Overview of attention for article published in BMC Genomics, October 2012
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2 X users

Citations

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Title
Identification, characterization, and utilization of genome-wide simple sequence repeats to identify a QTL for acidity in apple
Published in
BMC Genomics, October 2012
DOI 10.1186/1471-2164-13-537
Pubmed ID
Authors

Qiong Zhang, Baiquan Ma, Hui Li, Yuansheng Chang, Yuanyuan Han, Jing Li, Guochao Wei, Shuang Zhao, Muhammad Awais Khan, Ying Zhou, Chao Gu, Xingzhong Zhang, Zhenhai Han, Schuyler S Korban, Shaohua Li, Yuepeng Han

Abstract

Apple is an economically important fruit crop worldwide. Developing a genetic linkage map is a critical step towards mapping and cloning of genes responsible for important horticultural traits in apple. To facilitate linkage map construction, we surveyed and characterized the distribution and frequency of perfect microsatellites in assembled contig sequences of the apple genome.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 3%
Unknown 32 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 21%
Student > Ph. D. Student 7 21%
Student > Master 6 18%
Student > Bachelor 2 6%
Other 1 3%
Other 4 12%
Unknown 6 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 58%
Biochemistry, Genetics and Molecular Biology 2 6%
Unspecified 1 3%
Environmental Science 1 3%
Nursing and Health Professions 1 3%
Other 1 3%
Unknown 8 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 08 October 2012.
All research outputs
#17,115,254
of 25,144,989 outputs
Outputs from BMC Genomics
#7,083
of 11,173 outputs
Outputs of similar age
#116,982
of 180,820 outputs
Outputs of similar age from BMC Genomics
#88
of 137 outputs
Altmetric has tracked 25,144,989 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,173 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 27th percentile – i.e., 27% 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 180,820 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 137 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.