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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Analysis of Host-Cell Proteins in Biotherapeutic Proteins by LC/MS Approaches.
|
|---|---|
| Chapter number | 25 |
| Book title |
Protein Downstream Processing
|
| Published in |
Methods in molecular biology, March 2014
|
| DOI | 10.1007/978-1-62703-977-2_25 |
| Pubmed ID | |
| Book ISBNs |
978-1-62703-976-5, 978-1-62703-977-2
|
| Authors |
Doneanu CE, Chen W, Catalin E. Doneanu, Weibin Chen, Doneanu, Catalin E., Chen, Weibin |
| Abstract |
A generic method for the identification and quantification of host-cell proteins (HCPs) in protein biopharmaceuticals is described. Therapeutic proteins and HCPs were converted to complex peptide mixtures following tryptic digestion. Comprehensive peptide separations were performed using online two-dimensional capillary liquid chromatography-(LC) involving high-pH reversed phase (RP)/low-pH RP separations. We applied this method to the analysis of HCP impurities in monoclonal antibody (mAb) preparations. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Belgium | 1 | 9% |
| Unknown | 10 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 27% |
| Student > Ph. D. Student | 2 | 18% |
| Student > Doctoral Student | 2 | 18% |
| Unknown | 4 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 27% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 9% |
| Social Sciences | 1 | 9% |
| Chemistry | 1 | 9% |
| Engineering | 1 | 9% |
| Other | 0 | 0% |
| Unknown | 4 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 03 July 2015.
All research outputs
#14,208,760
of 22,778,347 outputs
Outputs from Methods in molecular biology
#4,176
of 13,093 outputs
Outputs of similar age
#118,098
of 223,619 outputs
Outputs of similar age from Methods in molecular biology
#31
of 158 outputs
Altmetric has tracked 22,778,347 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,093 research outputs from this source. They receive a mean Attention Score of 3.3. This one has gotten more attention than average, scoring higher than 64% of its peers.
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 223,619 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 158 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.