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Attention Score in Context
Title |
Cytoplasmic genome substitution in wheat affects the nuclear-cytoplasmic cross-talk leading to transcript and metabolite alterations
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Published in |
BMC Genomics, December 2013
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DOI | 10.1186/1471-2164-14-868 |
Pubmed ID | |
Authors |
Cristina Crosatti, Lydia Quansah, Caterina Maré, Lorenzo Giusti, Enrica Roncaglia, Sergio G Atienza, Luigi Cattivelli, Aaron Fait |
Abstract |
Alloplasmic lines provide a unique tool to study nuclear-cytoplasmic interactions. Three alloplasmic lines, with nuclear genomes from Triticum aestivum and harboring cytoplasm from Aegilops uniaristata, Aegilops tauschii and Hordeum chilense, were investigated by transcript and metabolite profiling to identify the effects of cytoplasmic substitution on nuclear-cytoplasmic signaling mechanisms. |
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 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 3% |
Unknown | 39 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 14 | 35% |
Student > Ph. D. Student | 7 | 18% |
Student > Doctoral Student | 3 | 8% |
Student > Bachelor | 3 | 8% |
Student > Master | 2 | 5% |
Other | 4 | 10% |
Unknown | 7 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 22 | 55% |
Biochemistry, Genetics and Molecular Biology | 6 | 15% |
Medicine and Dentistry | 2 | 5% |
Unspecified | 1 | 3% |
Arts and Humanities | 1 | 3% |
Other | 2 | 5% |
Unknown | 6 | 15% |
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 10 December 2013.
All research outputs
#20,213,623
of 22,736,112 outputs
Outputs from BMC Genomics
#9,256
of 10,630 outputs
Outputs of similar age
#266,979
of 306,776 outputs
Outputs of similar age from BMC Genomics
#380
of 448 outputs
Altmetric has tracked 22,736,112 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 10,630 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 306,776 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 448 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.