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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Growth Factor Engineering Strategies for Regenerative Medicine Applications
|
|---|---|
| Published in |
Frontiers in Bioengineering and Biotechnology, January 2020
|
| DOI | 10.3389/fbioe.2019.00469 |
| Pubmed ID | |
| Authors |
Xiaochen Ren, Moyuan Zhao, Blake Lash, Mikaël M. Martino, Ziad Julier |
| Abstract |
Growth factors are critical molecules for tissue repair and regeneration. Therefore, recombinant growth factors have raised a lot of hope for regenerative medicine applications. While using growth factors to promote tissue healing has widely shown promising results in pre-clinical settings, their success in the clinic is not a forgone conclusion. Indeed, translation of growth factors is often limited by their short half-life, rapid diffusion from the delivery site, and low cost-effectiveness. Trying to circumvent those limitations by the use of supraphysiological doses has led to serious side-effects in many cases and therefore innovative technologies are required to improve growth factor-based regenerative strategies. In this review, we present protein engineering approaches seeking to improve growth factor delivery and efficacy while reducing doses and side effects. We focus on engineering strategies seeking to improve affinity of growth factors for biomaterials or the endogenous extracellular matrix. Then, we discuss some examples of increasing growth factor stability and bioactivity, and propose new lines of research that the field of growth factor engineering for regenerative medicine may adopt in the future. |
X Demographics
The data shown below were collected from the profiles of 19 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Saudi Arabia | 8 | 42% |
| Morocco | 1 | 5% |
| Congo, The Democratic Republic of the | 1 | 5% |
| Austria | 1 | 5% |
| United States | 1 | 5% |
| Mexico | 1 | 5% |
| Switzerland | 1 | 5% |
| Unknown | 5 | 26% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 63% |
| Scientists | 6 | 32% |
| Practitioners (doctors, other healthcare professionals) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 305 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 305 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 36 | 12% |
| Student > Ph. D. Student | 33 | 11% |
| Student > Master | 32 | 10% |
| Researcher | 26 | 9% |
| Student > Doctoral Student | 9 | 3% |
| Other | 32 | 10% |
| Unknown | 137 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 42 | 14% |
| Engineering | 22 | 7% |
| Medicine and Dentistry | 19 | 6% |
| Agricultural and Biological Sciences | 14 | 5% |
| Chemistry | 13 | 4% |
| Other | 45 | 15% |
| Unknown | 150 | 49% |
Attention Score in Context
This research output has an Altmetric Attention Score of 24. 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 06 September 2023.
All research outputs
#1,622,777
of 25,721,020 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#169
of 8,646 outputs
Outputs of similar age
#39,877
of 481,524 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#12
of 247 outputs
Altmetric has tracked 25,721,020 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,646 research outputs from this source. They receive a mean Attention Score of 3.5. 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 481,524 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 91% of its contemporaries.
We're also able to compare this research output to 247 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 95% of its contemporaries.