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Mendeley readers
Attention Score in Context
Title |
Validation of analytical methods in GMP: the disposable Fast Read 102® device, an alternative practical approach for cell counting
|
---|---|
Published in |
Journal of Translational Medicine, May 2012
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DOI | 10.1186/1479-5876-10-112 |
Pubmed ID | |
Authors |
Monica Gunetti, Sara Castiglia, Deborah Rustichelli, Katia Mareschi, Fiorella Sanavio, Michela Muraro, Elena Signorino, Laura Castello, Ivana Ferrero, Franca Fagioli |
Abstract |
The quality and safety of advanced therapy products must be maintained throughout their production and quality control cycle to ensure their final use in patients. We validated the cell count method according to the International Conference on Harmonization of Technical Requirements for Registration of Pharmaceuticals for Human Use and European Pharmacopoeia, considering the tests' accuracy, precision, repeatability, linearity and range. |
Mendeley readers
The data shown below were compiled from readership statistics for 109 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 3% |
Unknown | 106 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 19 | 17% |
Researcher | 17 | 16% |
Student > Bachelor | 15 | 14% |
Student > Ph. D. Student | 13 | 12% |
Student > Doctoral Student | 5 | 5% |
Other | 8 | 7% |
Unknown | 32 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 25 | 23% |
Biochemistry, Genetics and Molecular Biology | 16 | 15% |
Chemistry | 6 | 6% |
Medicine and Dentistry | 5 | 5% |
Pharmacology, Toxicology and Pharmaceutical Science | 5 | 5% |
Other | 18 | 17% |
Unknown | 34 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 02 October 2019.
All research outputs
#2,313,105
of 22,711,242 outputs
Outputs from Journal of Translational Medicine
#368
of 3,972 outputs
Outputs of similar age
#15,555
of 165,224 outputs
Outputs of similar age from Journal of Translational Medicine
#4
of 67 outputs
Altmetric has tracked 22,711,242 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 3,972 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has done particularly well, scoring higher than 90% 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 165,224 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 67 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 94% of its contemporaries.