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Delayed union and nonunions: Epidemiology, clinical issues, and financial aspects

Overview of attention for article published in Injury, June 2014
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

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1 X user
patent
2 patents

Readers on

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611 Mendeley
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Article details
Title
Delayed union and nonunions: Epidemiology, clinical issues, and financial aspects
Published in
Injury, June 2014
DOI 10.1016/j.injury.2014.04.002
Pubmed ID
Authors
Abstract

Fracture healing is a critically important clinical event for fracture patients and for clinicians who take care of them. The clinical evaluation of fracture healing is based on both radiographic findings and clinical findings. Risk factors for delayed union and nonunion include patient dependent factors such as advanced age, medical comorbidities, smoking, non-steroidal anti-inflammatory use, various genetic disorders, metabolic disease and nutritional deficiency. Patient independent factors include fracture pattern, location, and displacement, severity of soft tissue injury, degree of bone loss, quality of surgical treatment and presence of infection. Established nonunions can be characterised in terms of biologic capacity, deformity, presence or absence of infection, and host status. Hypertrophic, oligotrophic and atrophic radiographic appearances allow the clinician to make inferences about the degree of fracture stability and the biologic viability of the fracture fragments while developing a treatment plan. Non-unions are difficult to treat and have a high financial impact. Indirect costs, such as productivity losses, are the key driver for the overall costs in fracture and non-union patients. Therefore, all strategies that help to reduce healing time with faster resumption of work and activities not only improve medical outcome for the patient, they also help reduce the financial burden in fracture and non-union patients.

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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 611 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Lebanon 1 <1%
Brazil 1 <1%
Australia 1 <1%
Unknown 608 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 64 10%
Student > Bachelor 57 9%
Researcher 57 9%
Student > Ph. D. Student 56 9%
Student > Postgraduate 40 7%
Other 105 17%
Unknown 232 38%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 189 31%
Engineering 42 7%
Biochemistry, Genetics and Molecular Biology 34 6%
Agricultural and Biological Sciences 22 4%
Nursing and Health Professions 13 2%
Other 63 10%
Unknown 248 41%
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 27 June 2023.
All research outputs
#10,531,462
of 31,346,776 outputs
Outputs from Injury
#1,491
of 4,012 outputs
Outputs of similar age
#86,907
of 256,696 outputs
Outputs of similar age from Injury
#21
of 49 outputs
Altmetric has tracked 31,346,776 research outputs across all sources so far. This one has received more attention than most of these and is in the 65th percentile.
So far Altmetric has tracked 4,012 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.8. This one has gotten more attention than average, scoring higher than 62% 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 256,696 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 64% of its contemporaries.
We're also able to compare this research output to 49 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 57% of its contemporaries.