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Attention Score in Context
Title |
Proteomic changes in the base of chrysanthemum cuttings during adventitious root formation
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Published in |
BMC Genomics, December 2013
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DOI | 10.1186/1471-2164-14-919 |
Pubmed ID | |
Authors |
Ruixia Liu, Sumei Chen, Jiafu Jiang, Lu Zhu, Chen Zheng, Shuang Han, Jing Gu, Jing Sun, Huiyun Li, Haibin Wang, Aiping Song, Fadi Chen |
Abstract |
A lack of competence to form adventitious roots by cuttings of Chrysanthemum (Chrysanthemum morifolium) is an obstacle for the rapid fixation of elite genotypes. We performed a proteomic analysis of cutting bases of chrysanthemum cultivar 'Jinba' during adventitious root formation (ARF) in order to identify rooting ability associated protein and/or to get further insight into the molecular mechanisms controlling adventitious rooting. |
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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 35 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 17% |
Researcher | 5 | 14% |
Professor | 4 | 11% |
Student > Bachelor | 3 | 9% |
Other | 2 | 6% |
Other | 7 | 20% |
Unknown | 8 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 17 | 49% |
Biochemistry, Genetics and Molecular Biology | 7 | 20% |
Business, Management and Accounting | 1 | 3% |
Medicine and Dentistry | 1 | 3% |
Unknown | 9 | 26% |
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 26 December 2013.
All research outputs
#20,215,721
of 22,738,543 outputs
Outputs from BMC Genomics
#9,257
of 10,630 outputs
Outputs of similar age
#266,441
of 306,848 outputs
Outputs of similar age from BMC Genomics
#389
of 451 outputs
Altmetric has tracked 22,738,543 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 306,848 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 451 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.