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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Bioprocessing strategies for the large-scale production of human mesenchymal stem cells: a review
|
|---|---|
| Published in |
Stem Cell Research & Therapy, November 2015
|
| DOI | 10.1186/s13287-015-0228-5 |
| Pubmed ID | |
| Authors |
Krishna M. Panchalingam, Sunghoon Jung, Lawrence Rosenberg, Leo A. Behie |
| Abstract |
Human mesenchymal stem cells (hMSCs), also called mesenchymal stromal cells, have been of great interest in regenerative medicine applications because of not only their differentiation potential but also their ability to secrete bioactive factors that can modulate the immune system and promote tissue repair. This potential has initiated many early-phase clinical studies for the treatment of various diseases, disorders, and injuries by using either hMSCs themselves or their secreted products. Currently, hMSCs for clinical use are generated through conventional static adherent cultures in the presence of fetal bovine serum or human-sourced supplements. However, these methods suffer from variable culture conditions (i.e., ill-defined medium components and heterogeneous culture environment) and thus are not ideal procedures to meet the expected future demand of quality-assured hMSCs for human therapeutic use. Optimizing a bioprocess to generate hMSCs or their secreted products (or both) promises to improve the efficacy as well as safety of this stem cell therapy. In this review, current media and methods for hMSC culture are outlined and bioprocess development strategies discussed. |
X Demographics
The data shown below were collected from the profiles of 11 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 | 3 | 27% |
| United Kingdom | 1 | 9% |
| Comoros | 1 | 9% |
| Russia | 1 | 9% |
| Unknown | 5 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 64% |
| Scientists | 3 | 27% |
| Science communicators (journalists, bloggers, editors) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 339 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | <1% |
| United States | 1 | <1% |
| France | 1 | <1% |
| Switzerland | 1 | <1% |
| Unknown | 334 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 66 | 19% |
| Researcher | 54 | 16% |
| Student > Master | 51 | 15% |
| Student > Bachelor | 40 | 12% |
| Student > Doctoral Student | 20 | 6% |
| Other | 36 | 11% |
| Unknown | 72 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 68 | 20% |
| Engineering | 45 | 13% |
| Agricultural and Biological Sciences | 39 | 12% |
| Medicine and Dentistry | 31 | 9% |
| Chemical Engineering | 18 | 5% |
| Other | 56 | 17% |
| Unknown | 82 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 2023.
All research outputs
#1,835,298
of 24,514,423 outputs
Outputs from Stem Cell Research & Therapy
#98
of 2,634 outputs
Outputs of similar age
#30,902
of 396,208 outputs
Outputs of similar age from Stem Cell Research & Therapy
#2
of 57 outputs
Altmetric has tracked 24,514,423 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,634 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done particularly well, scoring higher than 96% 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 396,208 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 92% of its contemporaries.
We're also able to compare this research output to 57 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 98% of its contemporaries.