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X Demographics
Mendeley readers
Attention Score in Context
| Title |
An update on bone imaging and markers in chronic kidney disease
|
|---|---|
| Published in |
Expert Review of Endocrinology & Metabolism, September 2016
|
| DOI | 10.1080/17446651.2016.1239527 |
| Pubmed ID | |
| Authors |
Rathika Krishnasamy, Carmel M Hawley, David W Johnson |
| Abstract |
Bone disorders in chronic kidney disease (CKD) are associated with heightened risks of fractures, vascular calcification, poor quality of life and mortality compared to the general population. However, diagnosis and management of these disorders in CKD are complex and appreciably limited by current diagnostic modalities. Areas covered: Bone histomorphometry remains the gold standard for diagnosis but is not widely utilised and lacks feasibility as a monitoring tool. In practice, non-invasive imaging and biochemical markers are preferred to guide therapeutic decisions. Expert commentary: This review aims to summarize the risk factors for, and spectrum of bone disease in CKD, as well as appraise the clinical utility of dual energy X-ray densitometry, peripheral quantitative computed tomography, high-resolution peripheral quantitative computed tomography, and bone turnover markers. |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 1 | 11% |
| Lecturer | 1 | 11% |
| Student > Bachelor | 1 | 11% |
| Professor | 1 | 11% |
| Student > Ph. D. Student | 1 | 11% |
| Other | 1 | 11% |
| Unknown | 3 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 2 | 22% |
| Nursing and Health Professions | 1 | 11% |
| Unspecified | 1 | 11% |
| Unknown | 5 | 56% |
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 29 September 2016.
All research outputs
#18,473,108
of 22,890,496 outputs
Outputs from Expert Review of Endocrinology & Metabolism
#181
of 292 outputs
Outputs of similar age
#244,864
of 322,616 outputs
Outputs of similar age from Expert Review of Endocrinology & Metabolism
#5
of 17 outputs
Altmetric has tracked 22,890,496 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 292 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 8th percentile – i.e., 8% 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 322,616 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.