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Mendeley readers
Attention Score in Context
| Chapter title |
Clinical Proteomics: Liquid Chromatography-Mass Spectrometry (LC-MS) Purification Systems.
|
|---|---|
| Chapter number | 20 |
| Book title |
Protein Chromatography
|
| Published in |
Methods in molecular biology, January 2017
|
| DOI | 10.1007/978-1-4939-6412-3_20 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-6410-9, 978-1-4939-6412-3
|
| Authors |
Michael Henry, Paula Meleady |
| Editors |
Dermot Walls, Sinéad T. Loughran |
| Abstract |
Liquid chromatography-mass spectrometry (LC-MS) has become a routine powerful technology in clinical proteomic studies for protein identification, protein characterization and the discovery of biomarkers. In this chapter, we describe two protocol methods to analyze clinical patient samples using a resin based depletion column followed by either protein In-gel enzymatic digestion or protein in-solution enzymatic digestion and then analysis by one-dimensional reverse-phase chromatography or two-dimensional strong cation exchange (SCX)-reverse-phase chromatography (RPC). |
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 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 % |
|---|---|---|
| Student > Bachelor | 1 | 17% |
| Researcher | 1 | 17% |
| Student > Postgraduate | 1 | 17% |
| Student > Master | 1 | 17% |
| Unknown | 2 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 17% |
| Biochemistry, Genetics and Molecular Biology | 1 | 17% |
| Agricultural and Biological Sciences | 1 | 17% |
| Medicine and Dentistry | 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 13 January 2018.
All research outputs
#20,346,264
of 22,893,031 outputs
Outputs from Methods in molecular biology
#9,921
of 13,134 outputs
Outputs of similar age
#355,303
of 420,414 outputs
Outputs of similar age from Methods in molecular biology
#845
of 1,074 outputs
Altmetric has tracked 22,893,031 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 13,134 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 420,414 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 1,074 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.