↓ Skip to main content

Immune modulation as a therapeutic strategy in bone regeneration

Overview of attention for article published in Journal of Experimental Orthopaedics, February 2015
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
83 Dimensions

Readers on

mendeley
98 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Immune modulation as a therapeutic strategy in bone regeneration
Published in
Journal of Experimental Orthopaedics, February 2015
DOI 10.1186/s40634-014-0017-6
Pubmed ID
Authors

Claudia Schlundt, Hanna Schell, Stuart B Goodman, Gordana Vunjak-Novakovic, Georg N Duda, Katharina Schmidt-Bleek

Abstract

We summarize research approaches and findings on bone healing and regeneration that were presented at a workshop at the 60th annual meeting of the Orthopedic Research Society (ORS) in New Orleans in 2014. The workshop was designed to discuss the role of inflammation in bone regeneration in the context of fundamental biology, and to develop therapeutic strategies that involve immune modulation. Delayed or non-healing of bone is a major clinical problem, with around 10% of fracture patients suffering from unsatisfying healing outcomes. Inflammation is traditionally seen as a defense mechanism, but was recently found essential in supporting and modulating regenerative cascades. In bone healing, macrophages and T- and B-cells interact with progenitor cells, bone forming osteoblasts and remodeling osteoclasts. Among the cells of the innate immunity, macrophages are promising candidates for targets in immune-modulatory interventions that would overcome complications in bone healing and bone-related diseases. Among the cells of the adaptive immune system, CD8+ T cells have been shown to have a negative impact on bone fracture healing outcome, whereas regulatory T cells could be promising candidates that have a positive, modulating effect on bone fracture healing. This workshop addressed recent advances and key challenges in this exciting interdisciplinary research field.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 1%
Unknown 97 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 27%
Student > Master 12 12%
Researcher 8 8%
Student > Bachelor 8 8%
Student > Doctoral Student 5 5%
Other 14 14%
Unknown 25 26%
Readers by discipline Count As %
Medicine and Dentistry 19 19%
Agricultural and Biological Sciences 13 13%
Engineering 12 12%
Biochemistry, Genetics and Molecular Biology 9 9%
Materials Science 5 5%
Other 12 12%
Unknown 28 29%
Attention Score in Context

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 26 February 2016.
All research outputs
#20,311,744
of 22,852,911 outputs
Outputs from Journal of Experimental Orthopaedics
#300
of 327 outputs
Outputs of similar age
#296,906
of 352,777 outputs
Outputs of similar age from Journal of Experimental Orthopaedics
#2
of 4 outputs
Altmetric has tracked 22,852,911 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 327 research outputs from this source. They receive a mean Attention Score of 4.3. 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 352,777 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 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.