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Mendeley readers
Attention Score in Context
Chapter title |
Plant cell lines in cell morphogenesis research.
|
---|---|
Chapter number | 18 |
Book title |
Plant Cell Morphogenesis
|
Published in |
Methods in molecular biology, October 2013
|
DOI | 10.1007/978-1-62703-643-6_18 |
Pubmed ID | |
Book ISBNs |
978-1-62703-642-9, 978-1-62703-643-6
|
Authors |
Seifertová D, Klíma P, Pařezová M, Petrášek J, Zažímalová E, Opatrný Z, Daniela Seifertová, Petr Klíma, Markéta Pařezová, Jan Petrášek, Eva Zažímalová, Zdeněk Opatrný |
Abstract |
Plant organs and tissues consist of many various cell types, often in different phases of their development. Such complex structures do not allow direct studies on behavior of individual cells. In contrast, populations of in vitro-cultured plant cells represent valuable tool for studying processes on a single-cell level, including cell morphogenesis. Here we describe characteristics of well-established model tobacco and Arabidopsis cell lines and provide detailed protocol on their cultivation, characterization, and genetic transformation. |
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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Czechia | 1 | 8% |
Unknown | 12 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 4 | 31% |
Student > Ph. D. Student | 3 | 23% |
Student > Master | 3 | 23% |
Professor > Associate Professor | 2 | 15% |
Unknown | 1 | 8% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 9 | 69% |
Biochemistry, Genetics and Molecular Biology | 2 | 15% |
Computer Science | 1 | 8% |
Unknown | 1 | 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 09 May 2014.
All research outputs
#20,229,658
of 22,755,127 outputs
Outputs from Methods in molecular biology
#9,863
of 13,089 outputs
Outputs of similar age
#184,806
of 211,682 outputs
Outputs of similar age from Methods in molecular biology
#27
of 43 outputs
Altmetric has tracked 22,755,127 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 13,089 research outputs from this source. They receive a mean Attention Score of 3.3. 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 211,682 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 43 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.