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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Raman spectroscopy as a process analytical technology for pharmaceutical manufacturing and bioprocessing
|
|---|---|
| Published in |
Analytical & Bioanalytical Chemistry, August 2016
|
| DOI | 10.1007/s00216-016-9824-1 |
| Pubmed ID | |
| Authors |
Karen A. Esmonde-White, Maryann Cuellar, Carsten Uerpmann, Bruno Lenain, Ian R. Lewis |
| Abstract |
Adoption of Quality by Design (QbD) principles, regulatory support of QbD, process analytical technology (PAT), and continuous manufacturing are major factors effecting new approaches to pharmaceutical manufacturing and bioprocessing. In this review, we highlight new technology developments, data analysis models, and applications of Raman spectroscopy, which have expanded the scope of Raman spectroscopy as a process analytical technology. Emerging technologies such as transmission and enhanced reflection Raman, and new approaches to using available technologies, expand the scope of Raman spectroscopy in pharmaceutical manufacturing, and now Raman spectroscopy is successfully integrated into real-time release testing, continuous manufacturing, and statistical process control. Since the last major review of Raman as a pharmaceutical PAT in 2010, many new Raman applications in bioprocessing have emerged. Exciting reports of in situ Raman spectroscopy in bioprocesses complement a growing scientific field of biological and biomedical Raman spectroscopy. Raman spectroscopy has made a positive impact as a process analytical and control tool for pharmaceutical manufacturing and bioprocessing, with demonstrated scientific and financial benefits throughout a product's lifecycle. |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 14% |
| Germany | 1 | 14% |
| United Kingdom | 1 | 14% |
| Mexico | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 71% |
| Scientists | 2 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 517 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | <1% |
| Unknown | 516 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 99 | 19% |
| Researcher | 80 | 15% |
| Student > Master | 69 | 13% |
| Student > Bachelor | 39 | 8% |
| Other | 30 | 6% |
| Other | 49 | 9% |
| Unknown | 151 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 67 | 13% |
| Engineering | 56 | 11% |
| Biochemistry, Genetics and Molecular Biology | 55 | 11% |
| Chemical Engineering | 55 | 11% |
| Pharmacology, Toxicology and Pharmaceutical Science | 35 | 7% |
| Other | 76 | 15% |
| Unknown | 173 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 27 September 2023.
All research outputs
#2,564,598
of 25,394,764 outputs
Outputs from Analytical & Bioanalytical Chemistry
#190
of 9,624 outputs
Outputs of similar age
#46,237
of 381,931 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#7
of 182 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,624 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done particularly well, scoring higher than 98% 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 381,931 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 182 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.