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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Proteostasis
|
|---|---|
| Chapter number | 24 |
| Book title |
Proteostasis
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-3756-1_24 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-3754-7, 978-1-4939-3756-1
|
| Authors |
Belda-Palazón, Borja, Ferrando, Alejandro, Farràs, Rosa, Borja Belda-Palazón, Alejandro Ferrando, Rosa Farràs |
| Editors |
Rune Matthiesen |
| Abstract |
The development of novel bioorthogonal reactives that can be used to tag biomolecules in vivo has revolutionized the studies of cellular and molecular biology. Among those novel reactive substances, amino acid analogs can be used to label nascent proteins, thus opening new avenues for measuring protein translation rates in vivo with a limited manipulation of the sample. Here, we describe the use of Click-chemistry to tag and separate newly synthesized proteins in mammalian cells that can be used, coupled with western analysis, to estimate the translation rate of any protein of interest. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 13 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 38% |
| Student > Bachelor | 2 | 15% |
| Student > Doctoral Student | 1 | 8% |
| Student > Master | 1 | 8% |
| Unknown | 4 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 38% |
| Agricultural and Biological Sciences | 2 | 15% |
| Neuroscience | 1 | 8% |
| Unknown | 5 | 38% |
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 05 January 2018.
All research outputs
#15,383,207
of 22,886,568 outputs
Outputs from Methods in molecular biology
#5,351
of 13,132 outputs
Outputs of similar age
#230,994
of 393,716 outputs
Outputs of similar age from Methods in molecular biology
#545
of 1,471 outputs
Altmetric has tracked 22,886,568 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 13,132 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 393,716 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,471 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.