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Attention Score in Context
Chapter title |
Analysis of Mitochondrial Markers of Programmed Cell Death
|
---|---|
Chapter number | 6 |
Book title |
Plant Programmed Cell Death
|
Published in |
Methods in molecular biology, January 2018
|
DOI | 10.1007/978-1-4939-7668-3_6 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7667-6, 978-1-4939-7668-3
|
Authors |
Dong Xiao, Huyi He, Wenjing Huang, Thet Lwin Oo, Aiqin Wang, Long-Fei He |
Abstract |
Mitochondria play a crucial role in programmed cell death (PCD) in plants. In most cases of mitochondria-dependent PCD, cytochrome c (Cyt c) released from mitochondria due to the opening of mitochondrial permeability transition pore (MPTP) and the activation of caspase-like proteases. Here we describe the analytic methods of mitochondrial markers of PCD including mitochondria isolation, mitochondrial membrane permeability, mitochondrial inner membrane potential, Cytc release, ATP, and mitochondrial reactive oxygen species (ROS). |
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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 6 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Unspecified | 2 | 33% |
Other | 1 | 17% |
Student > Master | 1 | 17% |
Unknown | 2 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Unspecified | 2 | 33% |
Biochemistry, Genetics and Molecular Biology | 1 | 17% |
Agricultural and Biological Sciences | 1 | 17% |
Unknown | 2 | 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 15 January 2018.
All research outputs
#20,459,801
of 23,016,919 outputs
Outputs from Methods in molecular biology
#9,945
of 13,165 outputs
Outputs of similar age
#378,187
of 442,344 outputs
Outputs of similar age from Methods in molecular biology
#1,193
of 1,498 outputs
Altmetric has tracked 23,016,919 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 13,165 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.
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 442,344 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 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.