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Attention Score in Context
Title |
High-throughput novel microsatellite marker of faba bean via next generation sequencing
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Published in |
BMC Genomics, November 2012
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DOI | 10.1186/1471-2164-13-602 |
Pubmed ID | |
Authors |
Tao Yang, Shi-ying Bao, Rebecca Ford, Teng-jiao Jia, Jian-ping Guan, Yu-hua He, Xue-lian Sun, Jun-ye Jiang, Jun-jie Hao, Xiao-yan Zhang, Xu-xiao Zong |
Abstract |
Faba bean (Vicia faba L.) is an important food legume crop, grown for human consumption globally including in China, Turkey, Egypt and Ethiopia. Although genetic gain has been made through conventional selection and breeding efforts, this could be substantially improved through the application of molecular methods. For this, a set of reliable molecular markers representative of the entire genome is required. |
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 % |
---|---|---|
Australia | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 1 | 1% |
Turkey | 1 | 1% |
Australia | 1 | 1% |
Brazil | 1 | 1% |
Unknown | 73 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 16 | 21% |
Student > Ph. D. Student | 14 | 18% |
Student > Master | 13 | 17% |
Student > Bachelor | 5 | 6% |
Professor | 5 | 6% |
Other | 16 | 21% |
Unknown | 8 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 48 | 62% |
Biochemistry, Genetics and Molecular Biology | 11 | 14% |
Nursing and Health Professions | 2 | 3% |
Medicine and Dentistry | 2 | 3% |
Environmental Science | 1 | 1% |
Other | 5 | 6% |
Unknown | 8 | 10% |
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 13 November 2012.
All research outputs
#18,320,524
of 22,685,926 outputs
Outputs from BMC Genomics
#8,145
of 10,616 outputs
Outputs of similar age
#139,703
of 183,504 outputs
Outputs of similar age from BMC Genomics
#111
of 144 outputs
Altmetric has tracked 22,685,926 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 10,616 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 12th percentile – i.e., 12% 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 183,504 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 144 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.