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Mendeley readers
Attention Score in Context
Title |
Does joint architecture influence the nature of intra-articular fractures?
|
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Published in |
Injury, December 2014
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DOI | 10.1016/j.injury.2014.12.019 |
Pubmed ID | |
Authors |
R.A. Steer, S.D. Smith, A. Lang, E. Hohmann, K.D. Tetsworth |
Abstract |
The architecture of joints has potentially the greatest influence on the nature of intra-articular fractures. We analysed a large number of intra-articular fractures with two aims: (1) to determine if the pattern of injuries observed supports our conjecture that the local skeletal architecture is an important factor and (2) to investigate whether associated dislocations further affect the fracture pattern. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 15 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 3 | 20% |
Student > Ph. D. Student | 3 | 20% |
Researcher | 2 | 13% |
Lecturer | 1 | 7% |
Student > Bachelor | 1 | 7% |
Other | 1 | 7% |
Unknown | 4 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 5 | 33% |
Nursing and Health Professions | 2 | 13% |
Computer Science | 1 | 7% |
Psychology | 1 | 7% |
Engineering | 1 | 7% |
Other | 0 | 0% |
Unknown | 5 | 33% |
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 04 January 2015.
All research outputs
#15,515,793
of 25,368,786 outputs
Outputs from Injury
#2,082
of 3,442 outputs
Outputs of similar age
#191,221
of 359,987 outputs
Outputs of similar age from Injury
#25
of 48 outputs
Altmetric has tracked 25,368,786 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,442 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.6. This one is in the 37th percentile – i.e., 37% 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 359,987 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 48 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.