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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Correction: Candidate-gene criteria for clinical reporting: diagnostic exome sequencing identifies altered candidate genes among 8% of patients with undiagnosed diseases
|
|---|---|
| Published in |
Genetics in Medicine, February 2018
|
| DOI | 10.1038/gim.2017.263 |
| Pubmed ID | |
| Authors |
Kelly D Farwell Hagman, Deepali N Shinde, Cameron Mroske, Erica Smith, Kelly Radtke, Layla Shahmirzadi, Dima El-Khechen, Zöe Powis, Elizabeth C Chao, Wendy A Alcaraz, Katherine L Helbig, Samin A Sajan, Mari Rossi, Hsiao-Mei Lu, Robert Huether, Shuwei Li, Sitao Wu, Mark E Nuñes, Sha Tang |
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 % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Postgraduate | 1 | 100% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 1 | 100% |
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 02 February 2018.
All research outputs
#21,285,712
of 26,017,215 outputs
Outputs from Genetics in Medicine
#2,755
of 2,970 outputs
Outputs of similar age
#348,496
of 453,594 outputs
Outputs of similar age from Genetics in Medicine
#62
of 65 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,970 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.1. This one is in the 3rd percentile – i.e., 3% 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 453,594 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 65 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.