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Attention Score in Context
Title |
Full genome re-sequencing reveals a novel circadian clock mutation in Arabidopsis
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Published in |
Genome Biology, March 2011
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DOI | 10.1186/gb-2011-12-3-r28 |
Pubmed ID | |
Authors |
Kevin Ashelford, Maria E Eriksson, Christopher M Allen, Rosalinda D'Amore, Mikael Johansson, Peter Gould, Suzanne Kay, Andrew J Millar, Neil Hall, Anthony Hall |
Abstract |
Map based cloning in Arabidopsis thaliana can be a difficult and time-consuming process, specifically if the phenotype is subtle and scoring labour intensive. Here, we have re-sequenced the 120-Mb genome of a novel Arabidopsis clock mutant early bird (ebi-1) in Wassilewskija (Ws-2). We demonstrate the utility of sequencing a backcrossed line in limiting the number of SNPs considered. We identify a SNP in the gene AtNFXL-2 as the likely cause of the ebi-1 phenotype. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 25% |
United Kingdom | 1 | 25% |
Unknown | 2 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 2 | 50% |
Members of the public | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 148 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 3% |
China | 3 | 2% |
Norway | 1 | <1% |
Sweden | 1 | <1% |
India | 1 | <1% |
Czechia | 1 | <1% |
Australia | 1 | <1% |
Brazil | 1 | <1% |
United Kingdom | 1 | <1% |
Other | 2 | 1% |
Unknown | 132 | 89% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 42 | 28% |
Researcher | 40 | 27% |
Student > Master | 16 | 11% |
Professor | 9 | 6% |
Student > Bachelor | 9 | 6% |
Other | 22 | 15% |
Unknown | 10 | 7% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 102 | 69% |
Biochemistry, Genetics and Molecular Biology | 22 | 15% |
Medicine and Dentistry | 3 | 2% |
Computer Science | 2 | 1% |
Social Sciences | 2 | 1% |
Other | 5 | 3% |
Unknown | 12 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 26 November 2012.
All research outputs
#14,784,639
of 25,374,917 outputs
Outputs from Genome Biology
#3,888
of 4,467 outputs
Outputs of similar age
#88,896
of 119,412 outputs
Outputs of similar age from Genome Biology
#25
of 32 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. 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 119,412 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.