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Mendeley readers
Attention Score in Context
| Title |
Investigating the mincing method for isolation of adipose-derived stem cells from pregnant women fat
|
|---|---|
| Published in |
Methods in Cell Science, December 2017
|
| DOI | 10.1007/s10616-017-0162-8 |
| Pubmed ID | |
| Authors |
Yuan-Sheng Li, Pao-Jen Chen, Li-Wei Wu, Pei-Wen Chou, Li-Yi Sun, Tzyy-Wen Chiou |
| Abstract |
The success of stem cell application in regenerative medicine, usually require a stable source of stem or progenitor cells. Fat tissue represents a good source of stem cells because it is rich in stem cells and there are fewer ethical issues related to the use of such stem cells, unlike embryonic stem cells. Therefore, there has been increased interest in adipose-derived stem cells (ADSCs) for tissue engineering applications. Here, we aim to provide an easy processing method for isolating adult stem cells from human adipose tissue harvested from the subcutaneous fat of the abdominal wall during gynecologic surgery. We used a homogenizer to mince fat and compared the results with those obtained from the traditional cut method involving a sterile scalpel and forceps. Our results showed that our method provides another stable and quality source of stem cells that could be used in cases with a large quantity of fat. Furthermore, we found that pregnancy adipose-derived stem cells (P-ADSCs) could be maintained in vitro for extended periods with a stable population doubling and low senescence levels. P-ADSCs could also differentiate in vitro into adipogenic, osteogenic, chondrogenic, and insulin-producing cells in the presence of lineage-specific induction factors. In conclusion, like human lipoaspirates, adipose tissues obtained from pregnant women contain multipotent cells with better proliferation and showed great promise for use in both stem cell banking studies as well as in stem cell therapy. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 50% |
| Poland | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 4 | 25% |
| Student > Ph. D. Student | 3 | 19% |
| Researcher | 2 | 13% |
| Student > Master | 2 | 13% |
| Student > Bachelor | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 3 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 19% |
| Nursing and Health Professions | 2 | 13% |
| Agricultural and Biological Sciences | 2 | 13% |
| Biochemistry, Genetics and Molecular Biology | 2 | 13% |
| Arts and Humanities | 1 | 6% |
| Other | 3 | 19% |
| Unknown | 3 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 16 December 2017.
All research outputs
#16,725,651
of 25,382,440 outputs
Outputs from Methods in Cell Science
#775
of 1,026 outputs
Outputs of similar age
#265,715
of 443,738 outputs
Outputs of similar age from Methods in Cell Science
#4
of 12 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,026 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 23rd percentile – i.e., 23% 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 443,738 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.