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X Demographics
Mendeley readers
Attention Score in Context
| Title |
An Efficient Modelling-Simulation-Analysis Workflow to Investigate Stump-Socket Interaction Using Patient-Specific, Three-Dimensional, Continuum-Mechanical, Finite Element Residual Limb Models
|
|---|---|
| Published in |
Frontiers in Bioengineering and Biotechnology, September 2018
|
| DOI | 10.3389/fbioe.2018.00126 |
| Pubmed ID | |
| Authors |
Ellankavi Ramasamy, Okan Avci, Beate Dorow, Sook-Yee Chong, Leonardo Gizzi, Günter Steidle, Fritz Schick, Oliver Röhrle |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 50% |
| Switzerland | 1 | 25% |
| United States | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 50% |
| Members of the public | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 70 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 13 | 19% |
| Student > Ph. D. Student | 12 | 17% |
| Researcher | 11 | 16% |
| Student > Bachelor | 8 | 11% |
| Professor | 4 | 6% |
| Other | 6 | 9% |
| Unknown | 16 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 44 | 63% |
| Medicine and Dentistry | 4 | 6% |
| Mathematics | 2 | 3% |
| Materials Science | 1 | 1% |
| Nursing and Health Professions | 1 | 1% |
| Other | 0 | 0% |
| Unknown | 18 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 17 October 2018.
All research outputs
#13,109,215
of 23,103,903 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#1,449
of 6,793 outputs
Outputs of similar age
#162,821
of 342,003 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#20
of 52 outputs
Altmetric has tracked 23,103,903 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,793 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 77% 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 342,003 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 51% of its contemporaries.
We're also able to compare this research output to 52 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 61% of its contemporaries.