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Attention Score in Context
Title |
Sequence based polymorphic (SBP) marker technology for targeted genomic regions: its application in generating a molecular map of the Arabidopsis thaliana genome
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Published in |
BMC Genomics, January 2012
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DOI | 10.1186/1471-2164-13-20 |
Pubmed ID | |
Authors |
Binod B Sahu, Rishi Sumit, Subodh K Srivastava, Madan K Bhattacharyya |
Abstract |
Molecular markers facilitate both genotype identification, essential for modern animal and plant breeding, and the isolation of genes based on their map positions. Advancements in sequencing technology have made possible the identification of single nucleotide polymorphisms (SNPs) for any genomic regions. Here a sequence based polymorphic (SBP) marker technology for generating molecular markers for targeted genomic regions in Arabidopsis is described. |
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 % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 1 | 3% |
Sweden | 1 | 3% |
Canada | 1 | 3% |
Brazil | 1 | 3% |
Unknown | 33 | 89% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 12 | 32% |
Student > Master | 5 | 14% |
Student > Ph. D. Student | 4 | 11% |
Professor > Associate Professor | 4 | 11% |
Professor | 3 | 8% |
Other | 5 | 14% |
Unknown | 4 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 26 | 70% |
Biochemistry, Genetics and Molecular Biology | 2 | 5% |
Computer Science | 1 | 3% |
Veterinary Science and Veterinary Medicine | 1 | 3% |
Unknown | 7 | 19% |
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 20 January 2012.
All research outputs
#18,303,566
of 22,661,413 outputs
Outputs from BMC Genomics
#8,141
of 10,612 outputs
Outputs of similar age
#194,704
of 243,250 outputs
Outputs of similar age from BMC Genomics
#218
of 288 outputs
Altmetric has tracked 22,661,413 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 10,612 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 243,250 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 288 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.