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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Predicting vitamin D deficiency in older Australian adults
|
|---|---|
| Published in |
Clinical Endocrinology, April 2013
|
| DOI | 10.1111/cen.12203 |
| Pubmed ID | |
| Authors |
Bich Tran, Bruce K. Armstrong, Kevin McGeechan, Peter R. Ebeling, Dallas R. English, Michael G. Kimlin, Robyn Lucas, Jolieke C. van der Pols, Alison Venn, Val Gebski, David C. Whiteman, Penelope M. Webb, Rachel E. Neale |
| Abstract |
There has been a dramatic increase in vitamin D testing in Australia in recent years, prompting calls for targeted testing. We sought to develop a model to identify people most at risk of vitamin D deficiency. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | 2% |
| Australia | 1 | 2% |
| Unknown | 48 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 16% |
| Student > Ph. D. Student | 6 | 12% |
| Student > Bachelor | 5 | 10% |
| Other | 4 | 8% |
| Student > Master | 4 | 8% |
| Other | 8 | 16% |
| Unknown | 15 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 17 | 34% |
| Agricultural and Biological Sciences | 8 | 16% |
| Nursing and Health Professions | 2 | 4% |
| Biochemistry, Genetics and Molecular Biology | 2 | 4% |
| Business, Management and Accounting | 1 | 2% |
| Other | 4 | 8% |
| Unknown | 16 | 32% |
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 08 April 2013.
All research outputs
#16,699,002
of 24,558,777 outputs
Outputs from Clinical Endocrinology
#1,990
of 2,922 outputs
Outputs of similar age
#128,824
of 202,471 outputs
Outputs of similar age from Clinical Endocrinology
#50
of 101 outputs
Altmetric has tracked 24,558,777 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,922 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one is in the 22nd percentile – i.e., 22% 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 202,471 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 101 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.