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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genomics in the renal clinic - translating nephrogenetics for clinical practice
|
|---|---|
| Published in |
Human Genomics, June 2015
|
| DOI | 10.1186/s40246-015-0035-1 |
| Pubmed ID | |
| Authors |
Andrew Mallett, Christopher Corney, Hugh McCarthy, Stephen I. Alexander, Helen Healy |
| Abstract |
Genetic Renal Disease (GRD) presents to mainstream clinicians as a mixture of kidney-specific as well as multi-organ entities, many with highly variable phenotype-genotype relationships. The rapid increase in knowledge and reduced cost of sequencing translate to new and additional approaches to clinical care. Specifically, genomic technologies to test for known genes, the development of pathways to research potential new genes and the collection of registry data on patients with mutations allow better prediction of outcomes. The aim of such approaches is to maximise personal and health-system utility from genomics for those affected by nephrogenetic disorders. |
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 Kingdom | 1 | 33% |
| United States | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 4 | 21% |
| Other | 3 | 16% |
| Professor > Associate Professor | 3 | 16% |
| Student > Master | 2 | 11% |
| Researcher | 2 | 11% |
| Other | 5 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 58% |
| Biochemistry, Genetics and Molecular Biology | 3 | 16% |
| Agricultural and Biological Sciences | 2 | 11% |
| Nursing and Health Professions | 1 | 5% |
| Economics, Econometrics and Finance | 1 | 5% |
| Other | 1 | 5% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 28 July 2015.
All research outputs
#14,599,900
of 25,373,627 outputs
Outputs from Human Genomics
#279
of 564 outputs
Outputs of similar age
#127,036
of 278,432 outputs
Outputs of similar age from Human Genomics
#13
of 14 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 564 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 48th percentile – i.e., 48% 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 278,432 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.