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Mendeley readers
Attention Score in Context
Title |
De novo transcriptome sequencing of radish (Raphanus sativusL.) and analysis of major genes involved in glucosinolate metabolism
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Published in |
BMC Genomics, November 2013
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DOI | 10.1186/1471-2164-14-836 |
Pubmed ID | |
Authors |
Yan Wang, Yan Pan, Zhe Liu, Xianwen Zhu, Lulu Zhai, Liang Xu, Rugang Yu, Yiqin Gong, Liwang Liu |
Abstract |
Radish (Raphanus sativus L.), is an important root vegetable crop worldwide. Glucosinolates in the fleshy taproot significantly affect the flavor and nutritional quality of radish. However, little is known about the molecular mechanisms underlying glucosinolate metabolism in radish taproots. The limited availability of radish genomic information has greatly hindered functional genomic analysis and molecular breeding in radish. |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 1 | 2% |
United Kingdom | 1 | 2% |
Colombia | 1 | 2% |
Sweden | 1 | 2% |
Unknown | 50 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 14 | 26% |
Student > Ph. D. Student | 14 | 26% |
Student > Master | 7 | 13% |
Student > Doctoral Student | 3 | 6% |
Student > Bachelor | 3 | 6% |
Other | 6 | 11% |
Unknown | 7 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 32 | 59% |
Biochemistry, Genetics and Molecular Biology | 7 | 13% |
Medicine and Dentistry | 3 | 6% |
Environmental Science | 1 | 2% |
Immunology and Microbiology | 1 | 2% |
Other | 1 | 2% |
Unknown | 9 | 17% |
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 27 November 2013.
All research outputs
#20,211,690
of 22,733,113 outputs
Outputs from BMC Genomics
#9,254
of 10,628 outputs
Outputs of similar age
#266,989
of 306,502 outputs
Outputs of similar age from BMC Genomics
#373
of 442 outputs
Altmetric has tracked 22,733,113 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,628 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 1st percentile – i.e., 1% 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 306,502 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 442 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.