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Advancing stem cell therapy from bench to bedside: lessons from drug therapies

Overview of attention for article published in Journal of Translational Medicine, September 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

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3 X users
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1 patent

Citations

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53 Dimensions

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124 Mendeley
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Title
Advancing stem cell therapy from bench to bedside: lessons from drug therapies
Published in
Journal of Translational Medicine, September 2014
DOI 10.1186/s12967-014-0243-9
Pubmed ID
Authors

Thekkeparambil Chandrabose Srijaya, Thamil Selvee Ramasamy, Noor Hayaty Abu Kasim

Abstract

The inadequacy of existing therapeutic tools together with the paucity of organ donors have always led medical researchers to innovate the current treatment methods or to discover new ways to cure disease. Emergence of cell-based therapies has provided a new framework through which it has given the human world a new hope. Though relatively a new concept, the pace of advancement clearly reveals the significant role that stem cells will ultimately play in the near future. However, there are numerous uncertainties that are prevailing against the present setting of clinical trials related to stem cells: like the best route of cell administration, appropriate dosage, duration and several other applications. A better knowledge of these factors can substantially improve the effectiveness of disease cure or organ repair using this latest therapeutic tool. From a certain perspective, it could be argued that by considering certain proven clinical concepts and experience from synthetic drug system, we could improve the overall efficacy of cell-based therapies. In the past, studies on synthetic drug therapies and their clinical trials have shown that all the aforementioned factors have critical ascendancy over its therapeutic outcomes. Therefore, based on the knowledge gained from synthetic drug delivery systems, we hypothesize that by employing many of the clinical approaches from synthetic drug therapies to this new regenerative therapeutic tool, the efficacy of stem cell-based therapies can also be improved.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Spain 1 <1%
Colombia 1 <1%
Unknown 121 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 15%
Researcher 18 15%
Student > Master 14 11%
Student > Bachelor 11 9%
Student > Postgraduate 6 5%
Other 22 18%
Unknown 34 27%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 18%
Medicine and Dentistry 21 17%
Biochemistry, Genetics and Molecular Biology 15 12%
Social Sciences 4 3%
Immunology and Microbiology 3 2%
Other 22 18%
Unknown 37 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 07 September 2014.
All research outputs
#6,461,428
of 23,344,526 outputs
Outputs from Journal of Translational Medicine
#987
of 4,117 outputs
Outputs of similar age
#62,780
of 239,214 outputs
Outputs of similar age from Journal of Translational Medicine
#18
of 78 outputs
Altmetric has tracked 23,344,526 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 4,117 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has done well, scoring higher than 75% 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 239,214 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 78 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.