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Bone marrow-derived cells for cardiovascular cell therapy: an optimized GMP method based on low-density gradient improves cell purity and function

Overview of attention for article published in Journal of Translational Medicine, September 2014
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Title
Bone marrow-derived cells for cardiovascular cell therapy: an optimized GMP method based on low-density gradient improves cell purity and function
Published in
Journal of Translational Medicine, September 2014
DOI 10.1186/s12967-014-0276-0
Pubmed ID
Authors

Marina Radrizzani, Viviana Lo Cicero, Sabrina Soncin, Sara Bolis, Daniel Sürder, Tiziano Torre, Francesco Siclari, Tiziano Moccetti, Giuseppe Vassalli, Lucia Turchetto

Abstract

Cardiovascular cell therapy represents a promising field, with several approaches currently being tested. The advanced therapy medicinal product (ATMP) for the ongoing METHOD clinical study ("Bone marrow derived cell therapy in the stable phase of chronic ischemic heart disease") consists of fresh mononuclear cells (MNC) isolated from autologous bone marrow (BM) through density gradient centrifugation on standard Ficoll-Paque. Cells are tested for safety (sterility, endotoxin), identity/potency (cell count, CD45/CD34/CD133, viability) and purity (contaminant granulocytes and platelets).

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Poland 1 3%
Switzerland 1 3%
Unknown 29 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 26%
Student > Bachelor 6 19%
Student > Ph. D. Student 5 16%
Student > Master 4 13%
Other 3 10%
Other 4 13%
Unknown 1 3%
Readers by discipline Count As %
Medicine and Dentistry 10 32%
Agricultural and Biological Sciences 6 19%
Biochemistry, Genetics and Molecular Biology 4 13%
Immunology and Microbiology 3 10%
Economics, Econometrics and Finance 2 6%
Other 5 16%
Unknown 1 3%
Attention Score in Context

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 28 September 2014.
All research outputs
#17,727,479
of 22,764,165 outputs
Outputs from Journal of Translational Medicine
#2,733
of 3,980 outputs
Outputs of similar age
#170,003
of 252,544 outputs
Outputs of similar age from Journal of Translational Medicine
#41
of 83 outputs
Altmetric has tracked 22,764,165 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,980 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one is in the 26th percentile – i.e., 26% 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 252,544 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 83 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.