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Surgeons save bones: an algorithm for orthopedic surgeons managing secondary fracture prevention

Overview of attention for article published in Archives of Orthopaedic and Trauma Surgery, May 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

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6 X users

Citations

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26 Dimensions

Readers on

mendeley
48 Mendeley
Title
Surgeons save bones: an algorithm for orthopedic surgeons managing secondary fracture prevention
Published in
Archives of Orthopaedic and Trauma Surgery, May 2013
DOI 10.1007/s00402-013-1774-x
Pubmed ID
Authors

M. Gosch, C. Kammerlander, T. Roth, H. K. Doshi, R. W. Gasser, M. Blauth

Abstract

Postmenopausal osteoporosis has a big impact on health care budget worldwide, which are expected to double by 2050. In spite of severe medical and socioeconomic consequences from fragility fractures, there are insufficient efforts in optimizing osteoporotic treatment and prevention. Undertreatment of osteoporosis is a well known phenomenon, particularly in elderly patients. Treatment rates remain low across virtually all patient, provider, and hospital-level characteristics, even after fragility fractures. In-hospital initiation is one of the options to increase treatment rates and improve osteoporosis management. However, multiple factors contribute to the failure of initiating appropriate treatment of osteoporosis in patients with fragility fractures. These include a lack of knowledge in osteoporosis and an absence of a comprehensive treatment guideline among family physicians and orthopedic surgeons. Furthermore, orthopedic surgeons are hardly willing to accept their responsibility for osteoporosis treatment due to the fact that they are usually not familiar with the initiation of specific drug treatments. The presented algorithm offers trauma surgeons and orthopedic surgeons a safe and simple guided pathway of treating osteoporosis in postmenopausal women appropriately after fragility fractures based on the current literature. From our point of view, this algorithm is useful for almost all cases and the user can expect treatment recommendations in more than 90 % of all cases. Nevertheless, some patients may require specialized review by an endocrinologist. The proposed algorithm may help to increase the rate of appropriate osteoporosis treatment hence reducing the rates of fragility fractures.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 21%
Student > Master 7 15%
Student > Postgraduate 5 10%
Student > Doctoral Student 4 8%
Student > Bachelor 3 6%
Other 7 15%
Unknown 12 25%
Readers by discipline Count As %
Medicine and Dentistry 20 42%
Pharmacology, Toxicology and Pharmaceutical Science 3 6%
Materials Science 3 6%
Engineering 2 4%
Chemical Engineering 1 2%
Other 4 8%
Unknown 15 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 21 May 2013.
All research outputs
#7,263,509
of 23,815,455 outputs
Outputs from Archives of Orthopaedic and Trauma Surgery
#285
of 1,215 outputs
Outputs of similar age
#60,391
of 197,982 outputs
Outputs of similar age from Archives of Orthopaedic and Trauma Surgery
#8
of 17 outputs
Altmetric has tracked 23,815,455 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,215 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 83% 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 197,982 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 69% of its contemporaries.
We're also able to compare this research output to 17 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 52% of its contemporaries.