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Mendeley readers
Attention Score in Context
| Chapter title |
A New, Nondestructive, Split-Root System for Local and Systemic Plant Responses Studies with Soybean
|
|---|---|
| Chapter number | 23 |
| Book title |
Host-Pathogen Interactions
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-7604-1_23 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7603-4, 978-1-4939-7604-1
|
| Authors |
Ángeles Hidalgo, José E. Ruiz-Sainz, José M. Vinardell |
| Abstract |
Plants use long-distance signaling mechanisms to coordinate their growth and control their interactions, positive or negative, with microbes. Split-root systems (SRS) have been used to study the relevance of both local and systemic plant mechanisms that participate in the control of rhizobia-legume symbioses. In this work we have developed a modification of the standard split-root system (SRS) used with soybean. This modified method, unlike previous systems, operates in hydroponics conditions and therefore is nondestructive and allows for the continuous monitoring of soybean roots throughout the whole experiment. |
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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 3 | 33% |
| Student > Ph. D. Student | 2 | 22% |
| Researcher | 2 | 22% |
| Student > Master | 1 | 11% |
| Unknown | 1 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 6 | 67% |
| Biochemistry, Genetics and Molecular Biology | 1 | 11% |
| Environmental Science | 1 | 11% |
| Unknown | 1 | 11% |
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 31 December 2017.
All research outputs
#20,458,307
of 23,015,156 outputs
Outputs from Methods in molecular biology
#9,940
of 13,156 outputs
Outputs of similar age
#378,178
of 442,345 outputs
Outputs of similar age from Methods in molecular biology
#1,193
of 1,498 outputs
Altmetric has tracked 23,015,156 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 13,156 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 1,498 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.