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Mendeley readers
Attention Score in Context
Chapter title |
Stable Inactivation of MicroRNAs in Medicago truncatula Roots
|
---|---|
Chapter number | 9 |
Book title |
Functional Genomics in Medicago truncatula
|
Published in |
Methods in molecular biology, January 2018
|
DOI | 10.1007/978-1-4939-8633-0_9 |
Pubmed ID | |
Book ISBNs |
978-1-4939-8632-3, 978-1-4939-8633-0
|
Authors |
Hélène Proust, Jérémie Bazin, Céline Sorin, Caroline Hartmann, Martin Crespi, Christine Lelandais-Brière, Proust, Hélène, Bazin, Jérémie, Sorin, Céline, Hartmann, Caroline, Crespi, Martin, Lelandais-Brière, Christine |
Abstract |
MicroRNAs are key regulators in the development processes or stress responses in plants. In the last decade, several conserved or non-conserved microRNAs have been identified in Medicago truncatula. Different strategies leading to the inactivation of microRNAs in plants have been described. Here, we propose a protocol for an effective inactivation of microRNAs using a STTM strategy in M. truncatula transgenic roots. |
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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 5 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 2 | 40% |
Researcher | 1 | 20% |
Unknown | 2 | 40% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 1 | 20% |
Agricultural and Biological Sciences | 1 | 20% |
Psychology | 1 | 20% |
Unknown | 2 | 40% |
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 26 July 2018.
All research outputs
#20,527,576
of 23,096,849 outputs
Outputs from Methods in molecular biology
#9,977
of 13,208 outputs
Outputs of similar age
#378,510
of 442,670 outputs
Outputs of similar age from Methods in molecular biology
#1,194
of 1,499 outputs
Altmetric has tracked 23,096,849 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 13,208 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 442,670 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 1,499 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.