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Mendeley readers
Attention Score in Context
| Title |
An engineered multicomponent bone marrow niche for the recapitulation of hematopoiesis at ectopic transplantation sites
|
|---|---|
| Published in |
Journal of Hematology & Oncology, January 2016
|
| DOI | 10.1186/s13045-016-0234-9 |
| Pubmed ID | |
| Authors |
Mónica S. Ventura Ferreira, Christian Bergmann, Isabelle Bodensiek, Kristina Peukert, Jessica Abert, Rafael Kramann, Paul Kachel, Björn Rath, Stephan Rütten, Ruth Knuchel, Benjamin L. Ebert, Horst Fischer, Tim H. Brümmendorf, Rebekka K. Schneider |
| Abstract |
Bone marrow (BM) niches are often inaccessible for controlled experimentation due to their difficult accessibility, biological complexity, and three-dimensional (3D) geometry. Here, we report the development and characterization of a BM model comprising of cellular and structural components with increased potential for hematopoietic recapitulation at ectopic transplantation sites. Cellular components included mesenchymal stromal cells (MSCs) and hematopoietic stem and progenitor cells (HSPCs). Structural components included 3D β-tricalcium phosphate (β-TCP) scaffolds complemented with Matrigel or collagen I/III gels for the recreation of the osteogenic/extracellular character of native BM. In vitro, β-TCP/Matrigel combinations robustly maintained proliferation, osteogenic differentiation, and matrix remodeling capacities of MSCs and maintenance of HSPCs function over time. In vivo, scaffolds promoted strong and robust recruitment of hematopoietic cells to sites of ectopic transplantation, vascularization, and soft tissue formation. Our tissue-engineered BM system is a powerful tool to explore the regulatory mechanisms of hematopoietic stem and progenitor cells for a better understanding of hematopoiesis in health and disease. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 3% |
| Unknown | 68 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 26% |
| Researcher | 13 | 19% |
| Student > Master | 9 | 13% |
| Student > Bachelor | 5 | 7% |
| Student > Doctoral Student | 3 | 4% |
| Other | 8 | 11% |
| Unknown | 14 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 15 | 21% |
| Biochemistry, Genetics and Molecular Biology | 9 | 13% |
| Engineering | 8 | 11% |
| Medicine and Dentistry | 7 | 10% |
| Materials Science | 5 | 7% |
| Other | 8 | 11% |
| Unknown | 18 | 26% |
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 27 January 2016.
All research outputs
#20,303,950
of 22,842,950 outputs
Outputs from Journal of Hematology & Oncology
#1,036
of 1,192 outputs
Outputs of similar age
#333,353
of 396,496 outputs
Outputs of similar age from Journal of Hematology & Oncology
#19
of 22 outputs
Altmetric has tracked 22,842,950 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,192 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.7. This one is in the 1st percentile – i.e., 1% 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 396,496 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.