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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A mechanical model for predicting the probability of osteoporotic hip fractures based in DXA measurements and finite element simulation
|
|---|---|
| Published in |
BioMedical Engineering OnLine, November 2012
|
| DOI | 10.1186/1475-925x-11-84 |
| Pubmed ID | |
| Authors |
Enrique López, Elena Ibarz, Antonio Herrera, Jesús Mateo, Antonio Lobo-Escolar, Sergio Puértolas, Luis Gracia |
| Abstract |
Osteoporotic hip fractures represent major cause of disability, loss of quality of life and even mortality among the elderly population. Decisions on drug therapy are based on the assessment of risk factors for fracture, from BMD measurements. The combination of biomechanical models with clinical studies could better estimate bone strength and supporting the specialists in their decision. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Finland | 1 | 2% |
| Spain | 1 | 2% |
| United States | 1 | 2% |
| Brazil | 1 | 2% |
| Unknown | 58 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 13 | 21% |
| Student > Ph. D. Student | 11 | 18% |
| Researcher | 10 | 16% |
| Student > Bachelor | 5 | 8% |
| Student > Doctoral Student | 4 | 6% |
| Other | 11 | 18% |
| Unknown | 8 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 20 | 32% |
| Medicine and Dentistry | 19 | 31% |
| Psychology | 3 | 5% |
| Materials Science | 3 | 5% |
| Social Sciences | 2 | 3% |
| Other | 5 | 8% |
| Unknown | 10 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 15 November 2012.
All research outputs
#17,670,751
of 22,685,926 outputs
Outputs from BioMedical Engineering OnLine
#529
of 821 outputs
Outputs of similar age
#130,818
of 179,003 outputs
Outputs of similar age from BioMedical Engineering OnLine
#3
of 13 outputs
Altmetric has tracked 22,685,926 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 821 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 31st percentile – i.e., 31% 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 179,003 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.