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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
High-Resolution Cell-Type Specific Analysis of Cytokinins in Sorted Root Cell Populations of Arabidopsis thaliana.
|
|---|---|
| Chapter number | 19 |
| Book title |
Plant Hormones
|
| Published in |
Methods in molecular biology, January 2017
|
| DOI | 10.1007/978-1-4939-6469-7_19 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-6467-3, 978-1-4939-6469-7
|
| Authors |
Ondřej Novák, Ioanna Antoniadi, Karin Ljung |
| Editors |
Jürgen Kleine-Vehn, Michael Sauer |
| Abstract |
We describe a method combining fluorescence-activated cell sorting (FACS) with one-step miniaturized isolation and accurate quantification of cytokinins (CKs) using ultra-high performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS) to measure these phytohormones in specific cell types of Arabidopsis thaliana roots. The methodology provides information of unprecedented resolution about spatial distributions of CKs, and thus should facilitate attempts to elucidate regulatory networks involved in root developmental processes. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Chile | 1 | 9% |
| Unknown | 10 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 4 | 36% |
| Student > Ph. D. Student | 3 | 27% |
| Student > Doctoral Student | 1 | 9% |
| Student > Master | 1 | 9% |
| Researcher | 1 | 9% |
| Other | 1 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 5 | 45% |
| Biochemistry, Genetics and Molecular Biology | 4 | 36% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 9% |
| Chemistry | 1 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 11 January 2018.
All research outputs
#14,281,116
of 22,901,818 outputs
Outputs from Methods in molecular biology
#4,202
of 13,133 outputs
Outputs of similar age
#229,337
of 420,462 outputs
Outputs of similar age from Methods in molecular biology
#367
of 1,074 outputs
Altmetric has tracked 22,901,818 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,133 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 64% of its peers.
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 420,462 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,074 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.