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Mendeley readers
Attention Score in Context
| Chapter title |
Pulsed SILAC as a Approach for miRNA Targets Identification in Cell Culture.
|
|---|---|
| Chapter number | 11 |
| Book title |
Multiplex Biomarker Techniques
|
| Published in |
Methods in molecular biology, January 2017
|
| DOI | 10.1007/978-1-4939-6730-8_11 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-6729-2, 978-1-4939-6730-8
|
| Authors |
Daniella E. Duque-Guimarães, Juliana de Almeida-Faria, Thomas Prates Ong, Susan E. Ozanne, Duque-Guimarães, Daniella E, de Almeida-Faria, Juliana, Ong, Thomas Prates, Ozanne, Susan E, Duque-Guimarães, Daniella E., Ozanne, Susan E., Almeida-Faria, Juliana |
| Editors |
Paul C. Guest |
| Abstract |
Pulsed stable isotope labeling by amino acids in cell culture (pSILAC) comprises a variation of the classical SILAC proteomic methodology that enables the identification of short-term proteomic responses such as those elicited by micro RNAs (miRNAs). Here, we describe a detailed pSILAC protocol for global identification and quantification of protein translation alterations induced by a miRNA using 3T3-L1 pre-adipocytes as a model system. |
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 % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 7 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 1 | 14% |
| Professor > Associate Professor | 1 | 14% |
| Student > Bachelor | 1 | 14% |
| Student > Doctoral Student | 1 | 14% |
| Unknown | 3 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 1 | 14% |
| Computer Science | 1 | 14% |
| Agricultural and Biological Sciences | 1 | 14% |
| Medicine and Dentistry | 1 | 14% |
| Unknown | 3 | 43% |
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 12 December 2016.
All research outputs
#18,487,595
of 22,908,162 outputs
Outputs from Methods in molecular biology
#7,927
of 13,132 outputs
Outputs of similar age
#310,554
of 420,477 outputs
Outputs of similar age from Methods in molecular biology
#692
of 1,074 outputs
Altmetric has tracked 22,908,162 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,132 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 24th percentile – i.e., 24% 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 420,477 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% 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 is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.