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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
ChIRP-MS: RNA-Directed Proteomic Discovery
|
|---|---|
| Chapter number | 3 |
| Book title |
X-Chromosome Inactivation
|
| Published in |
Methods in molecular biology, September 2018
|
| DOI | 10.1007/978-1-4939-8766-5_3 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-8765-8, 978-1-4939-8766-5
|
| Authors |
Ci Chu, Howard Y. Chang, Chu, Ci, Chang, Howard Y. |
| Abstract |
Comprehensive identification of RNA-binding proteins by mass spectrometry (ChIRP-ms) is a novel technique for studying endogenous ribonucleoprotein complexes. ChIRP-ms is robust across a wide range of expression level, from abundant housekeeping RNAs (e.g., spliceosomal U RNAs) to relatively lowly expressed RNAs (e.g., Xist). In vivo RNA-protein interactions are chemically cross-linked, and purified using biotinylated antisense oligonucleotides against RNA of interest. Coprecipitated proteins are gently eluted, and identified by mass-spectrometry (for discovery) or by western blotting (for validation). |
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 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 78 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 21% |
| Researcher | 11 | 14% |
| Student > Bachelor | 8 | 10% |
| Student > Master | 7 | 9% |
| Student > Doctoral Student | 5 | 6% |
| Other | 9 | 12% |
| Unknown | 22 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 26 | 33% |
| Agricultural and Biological Sciences | 12 | 15% |
| Immunology and Microbiology | 6 | 8% |
| Medicine and Dentistry | 2 | 3% |
| Engineering | 2 | 3% |
| Other | 6 | 8% |
| Unknown | 24 | 31% |
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 24 September 2018.
All research outputs
#20,533,292
of 23,103,436 outputs
Outputs from Methods in molecular biology
#9,978
of 13,208 outputs
Outputs of similar age
#294,089
of 337,900 outputs
Outputs of similar age from Methods in molecular biology
#188
of 248 outputs
Altmetric has tracked 23,103,436 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 337,900 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 248 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.