You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
Title |
Functional analysis of the Landsberg erecta allele of FRIGIDA
|
---|---|
Published in |
BMC Plant Biology, August 2014
|
DOI | 10.1186/s12870-014-0218-2 |
Pubmed ID | |
Authors |
Inga Schmalenbach, Lei Zhang, Malgorzata Ryngajllo, José M Jiménez-Gómez |
Abstract |
Most of the natural variation in flowering time in Arabidopsis thaliana can be attributed to allelic variation at the gene FRIGIDA (FRI, AT4G00650), which activates expression of the floral repressor FLOWERING LOCUS C (FLC, AT5G10140). Usually, late-flowering accessions carry functional FRI alleles (FRI-wt), whereas early flowering accessions contain non-functional alleles. The two most frequent alleles found in early flowering accessions are the ones present in the commonly used lab strains Columbia (FRI-Col) and Landsberg erecta (FRI-Ler), which contain a premature stop codon and a deletion of the start codon respectively. |
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 % |
---|---|---|
Netherlands | 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 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 2% |
India | 1 | 2% |
Unknown | 50 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 11 | 21% |
Student > Ph. D. Student | 10 | 19% |
Student > Bachelor | 9 | 17% |
Student > Master | 5 | 10% |
Professor | 4 | 8% |
Other | 8 | 15% |
Unknown | 5 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 35 | 67% |
Biochemistry, Genetics and Molecular Biology | 9 | 17% |
Earth and Planetary Sciences | 1 | 2% |
Medicine and Dentistry | 1 | 2% |
Neuroscience | 1 | 2% |
Other | 1 | 2% |
Unknown | 4 | 8% |
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 21 September 2014.
All research outputs
#18,379,018
of 22,764,165 outputs
Outputs from BMC Plant Biology
#2,083
of 3,236 outputs
Outputs of similar age
#164,833
of 231,146 outputs
Outputs of similar age from BMC Plant Biology
#27
of 52 outputs
Altmetric has tracked 22,764,165 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 3,236 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 231,146 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 52 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.