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X Demographics
Mendeley readers
Attention Score in Context
| Title |
FRAX® tool, the WHO algorithm to predict osteoporotic fractures: the first analysis of its discriminative and predictive ability in the Spanish FRIDEX cohort
|
|---|---|
| Published in |
BMC Musculoskeletal Disorders, October 2012
|
| DOI | 10.1186/1471-2474-13-204 |
| Pubmed ID | |
| Authors |
Rafael Azagra, Genís Roca, Gloria Encabo, Amada Aguyé, Marta Zwart, Sílvia Güell, Núria Puchol, Emili Gene, Enrique Casado, Pilar Sancho, Silvia Solà, Pere Torán, Milagros Iglesias, Maria Carmen Gisbert, Francesc López-Expósito, Jesús Pujol-Salud, Yolanda Fernandez-Hermida, Ana Puente, Mireia Rosàs, Vicente Bou, Juan José Antón, Gustavo Lansdberg, Juan Carlos Martín-Sánchez, Adolf Díez-Pérez, Daniel Prieto-Alhambra |
| Abstract |
The WHO has recently published the FRAX® tool to determine the absolute risk of osteoporotic fracture at 10 years. This tool has not yet been validated in Spain. |
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 % |
|---|---|---|
| United States | 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 150 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 1% |
| Belgium | 1 | <1% |
| Switzerland | 1 | <1% |
| Unknown | 146 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 13% |
| Student > Ph. D. Student | 17 | 11% |
| Student > Master | 16 | 11% |
| Student > Doctoral Student | 16 | 11% |
| Student > Bachelor | 14 | 9% |
| Other | 38 | 25% |
| Unknown | 30 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 74 | 49% |
| Nursing and Health Professions | 11 | 7% |
| Psychology | 5 | 3% |
| Agricultural and Biological Sciences | 4 | 3% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 3% |
| Other | 16 | 11% |
| Unknown | 36 | 24% |
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 23 October 2012.
All research outputs
#18,319,742
of 22,684,168 outputs
Outputs from BMC Musculoskeletal Disorders
#3,114
of 4,028 outputs
Outputs of similar age
#138,652
of 182,002 outputs
Outputs of similar age from BMC Musculoskeletal Disorders
#54
of 74 outputs
Altmetric has tracked 22,684,168 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,028 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one is in the 10th percentile – i.e., 10% 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 182,002 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 74 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.