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PeanutDB: an integrated bioinformatics web portal for Arachis hypogaea transcriptomics

Overview of attention for article published in BMC Plant Biology, June 2012
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Title
PeanutDB: an integrated bioinformatics web portal for Arachis hypogaea transcriptomics
Published in
BMC Plant Biology, June 2012
DOI 10.1186/1471-2229-12-94
Pubmed ID
Authors

Xiaohong Duan, Emily Schmidt, Pei Li, Douglas Lenox, Lin Liu, Changlong Shu, Jie Zhang, Chun Liang

Abstract

The peanut (Arachis hypogaea) is an important crop cultivated worldwide for oil production and food sources. Its complex genetic architecture (e.g., the large and tetraploid genome possibly due to unique cross of wild diploid relatives and subsequent chromosome duplication: 2n = 4x = 40, AABB, 2800 Mb) presents a major challenge for its genome sequencing and makes it a less-studied crop. Without a doubt, transcriptome sequencing is the most effective way to harness the genome structure and gene expression dynamics of this non-model species that has a limited genomic resource.

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

Geographical breakdown

Country Count As %
China 1 2%
Unknown 40 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 37%
Researcher 10 24%
Student > Master 5 12%
Student > Doctoral Student 3 7%
Professor 3 7%
Other 4 10%
Unknown 1 2%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 49%
Biochemistry, Genetics and Molecular Biology 4 10%
Computer Science 4 10%
Social Sciences 3 7%
Medicine and Dentistry 2 5%
Other 2 5%
Unknown 6 15%
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 23 June 2012.
All research outputs
#18,309,495
of 22,669,724 outputs
Outputs from BMC Plant Biology
#2,066
of 3,208 outputs
Outputs of similar age
#126,472
of 164,469 outputs
Outputs of similar age from BMC Plant Biology
#15
of 19 outputs
Altmetric has tracked 22,669,724 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 3,208 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 22nd percentile – i.e., 22% 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 164,469 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.