↓ Skip to main content

Dove Medical Press

Is there a relationship between fracture healing and mean platelet volume?

Overview of attention for article published in Therapeutics and Clinical Risk Management, July 2016
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
3 X users

Citations

dimensions_citation
34 Dimensions

Readers on

mendeley
24 Mendeley
Title
Is there a relationship between fracture healing and mean platelet volume?
Published in
Therapeutics and Clinical Risk Management, July 2016
DOI 10.2147/tcrm.s108790
Pubmed ID
Authors

Sancar Serbest, Ugur Tiftikci, Haci Bayram Tosun, Seyit Ali Gumustas, Abuzer Uludag

Abstract

Platelet volume has been defined to be a marker that shows thrombocyte activation and function and it is measured as mean platelet volume (MPV). MPV shows the mean volume of circulating thrombocytes and it is one of the routine parameters in complete blood count. Increased thrombocyte volume is associated with thrombocyte activation. This study included 76 patients who were operated on due to fractures of long tubular bones. Patients who had union without any additional interventions were defined as group I, and patients who needed additional interventions due to nonunion or inadequate union were defined as group II. The control group included healthy volunteers who did not have a fracture. Hematologic test values of the patients that were obtained at admission to emergency ward were recorded. The groups were not statistically different in terms of age, sex, and the affected extremity. There were significant differences between group I and group II in terms of mean erythrocyte sedimentation rate, C-reactive protein, and MPV values (P<0.001), but there were no significant differences between group I and the control group. There was also no statistically significant difference among groups in terms of hematologic and biochemical variables. In our study, fractures in patients who had lower MPV values than controls during the inflammation process healed without any problem, but fractures in patients with high MPV values more frequently needed additional surgical interventions.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 17%
Student > Ph. D. Student 4 17%
Researcher 4 17%
Student > Postgraduate 2 8%
Professor 1 4%
Other 2 8%
Unknown 7 29%
Readers by discipline Count As %
Medicine and Dentistry 12 50%
Nursing and Health Professions 2 8%
Agricultural and Biological Sciences 1 4%
Materials Science 1 4%
Engineering 1 4%
Other 0 0%
Unknown 7 29%
Attention Score in Context

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 14 July 2016.
All research outputs
#16,721,717
of 25,374,647 outputs
Outputs from Therapeutics and Clinical Risk Management
#810
of 1,323 outputs
Outputs of similar age
#227,558
of 367,266 outputs
Outputs of similar age from Therapeutics and Clinical Risk Management
#30
of 51 outputs
Altmetric has tracked 25,374,647 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 1,323 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one is in the 30th percentile – i.e., 30% 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 367,266 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.