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Mendeley readers
Attention Score in Context
Chapter title |
Methods to Study Darkness-Induced Leaf Senescence
|
---|---|
Chapter number | 12 |
Book title |
Plant Senescence
|
Published in |
Methods in molecular biology, January 2018
|
DOI | 10.1007/978-1-4939-7672-0_12 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7670-6, 978-1-4939-7672-0
|
Authors |
Yi Song, Lin Li |
Abstract |
Leaf senescence is an intergral part of plant development, involving actively regulated molecular and biochemical processes, e.g. diverse transcriptome reprogramming, macromolecules degradation and nutrient remobilization. Natural and environment-induced leaf senescence directly affects crop yield and the shelf life of green vegetables. Darkness is considered as an inducer of leaf senescence and has been well used in laboratory setting. Here we described the setup of darkness-induced senescence in both detached and attached leaves and the methods to measure senescence-related parameters. |
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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 3 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 1 | 33% |
Student > Doctoral Student | 1 | 33% |
Unknown | 1 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 1 | 33% |
Agricultural and Biological Sciences | 1 | 33% |
Unknown | 1 | 33% |
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 03 February 2018.
All research outputs
#15,490,822
of 23,020,670 outputs
Outputs from Methods in molecular biology
#5,388
of 13,166 outputs
Outputs of similar age
#269,787
of 442,354 outputs
Outputs of similar age from Methods in molecular biology
#596
of 1,498 outputs
Altmetric has tracked 23,020,670 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,166 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 44th percentile – i.e., 44% 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 442,354 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
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 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.