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Comparison of SNP Calling Pipelines and NGS Platforms to Predict the Genomic Regions Harboring Candidate Genes for Nodulation in Cultivated Peanut

Overview of attention for article published in Frontiers in Genetics, March 2020
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28 Mendeley
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Title
Comparison of SNP Calling Pipelines and NGS Platforms to Predict the Genomic Regions Harboring Candidate Genes for Nodulation in Cultivated Peanut
Published in
Frontiers in Genetics, March 2020
DOI 10.3389/fgene.2020.00222
Pubmed ID
Authors

Ze Peng, Zifan Zhao, Josh Paul Clevenger, Ye Chu, Dev Paudel, Peggy Ozias-Akins, Jianping Wang

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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 29%
Researcher 7 25%
Student > Master 2 7%
Professor 1 4%
Student > Doctoral Student 1 4%
Other 0 0%
Unknown 9 32%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 39%
Biochemistry, Genetics and Molecular Biology 4 14%
Social Sciences 1 4%
Engineering 1 4%
Unknown 11 39%
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 06 April 2020.
All research outputs
#18,718,509
of 23,201,298 outputs
Outputs from Frontiers in Genetics
#7,221
of 12,236 outputs
Outputs of similar age
#275,557
of 367,910 outputs
Outputs of similar age from Frontiers in Genetics
#249
of 407 outputs
Altmetric has tracked 23,201,298 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,236 research outputs from this source. They receive a mean Attention Score of 3.7. 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 367,910 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 407 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.