| Title |
Computational efficient method for assessing the influence of surgical variability on primary stability of a contemporary femoral stem in a cohort of subjects
|
|---|---|
| Published in |
Biomechanics and Modeling in Mechanobiology, October 2019
|
| DOI | 10.1007/s10237-019-01235-0 |
| Pubmed ID | |
| Authors |
Rami M. A. Al-Dirini, Saulo Martelli, Mark Taylor |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 5 | 63% |
| United Kingdom | 1 | 13% |
| Unknown | 2 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 63% |
| Practitioners (doctors, other healthcare professionals) | 2 | 25% |
| Members of the public | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 13% |
| Professor > Associate Professor | 3 | 13% |
| Student > Ph. D. Student | 3 | 13% |
| Researcher | 2 | 9% |
| Other | 2 | 9% |
| Other | 4 | 17% |
| Unknown | 6 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 9 | 39% |
| Medicine and Dentistry | 4 | 17% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Physics and Astronomy | 1 | 4% |
| Unknown | 8 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 02 December 2019.
All research outputs
#4,846,517
of 23,849,058 outputs
Outputs from Biomechanics and Modeling in Mechanobiology
#45
of 486 outputs
Outputs of similar age
#95,400
of 359,573 outputs
Outputs of similar age from Biomechanics and Modeling in Mechanobiology
#2
of 18 outputs
Altmetric has tracked 23,849,058 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 486 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has gotten more attention than average, scoring higher than 74% 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 359,573 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 73% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.