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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Non-invasive Predictors of Human Cortical Bone Mechanical Properties: T2-Discriminated 1H NMR Compared with High Resolution X-ray
|
|---|---|
| Published in |
PLOS ONE, January 2011
|
| DOI | 10.1371/journal.pone.0016359 |
| Pubmed ID | |
| Authors |
R. Adam Horch, Daniel F. Gochberg, Jeffry S. Nyman, Mark D. Does |
| Abstract |
Recent advancements in magnetic resonance imaging (MRI) have enabled clinical imaging of human cortical bone, providing a potentially powerful new means for assessing bone health with molecular-scale sensitivities unavailable to conventional X-ray-based diagnostics. To this end, (1)H nuclear magnetic resonance (NMR) and high-resolution X-ray signals from human cortical bone samples were correlated with mechanical properties of bone. Results showed that (1)H NMR signals were better predictors of yield stress, peak stress, and pre-yield toughness than were the X-ray derived signals. These (1)H NMR signals can, in principle, be extracted from clinical MRI, thus offering the potential for improved clinical assessment of fracture risk. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| United Kingdom | 1 | 2% |
| Germany | 1 | 2% |
| Unknown | 60 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 27% |
| Researcher | 15 | 23% |
| Student > Master | 6 | 9% |
| Professor | 5 | 8% |
| Professor > Associate Professor | 4 | 6% |
| Other | 7 | 11% |
| Unknown | 10 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 21 | 33% |
| Medicine and Dentistry | 8 | 13% |
| Physics and Astronomy | 8 | 13% |
| Agricultural and Biological Sciences | 2 | 3% |
| Chemistry | 2 | 3% |
| Other | 6 | 9% |
| Unknown | 17 | 27% |
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 30 June 2017.
All research outputs
#13,866,704
of 22,985,065 outputs
Outputs from PLOS ONE
#112,658
of 195,897 outputs
Outputs of similar age
#137,319
of 183,554 outputs
Outputs of similar age from PLOS ONE
#917
of 1,241 outputs
Altmetric has tracked 22,985,065 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 195,897 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one is in the 41st percentile – i.e., 41% 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 183,554 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,241 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.