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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A new approach to identifying patients with elevated risk for Fabry disease using a machine learning algorithm
|
|---|---|
| Published in |
Orphanet Journal of Rare Diseases, December 2021
|
| DOI | 10.1186/s13023-021-02150-3 |
| Pubmed ID | |
| Authors |
John L. Jefferies, Alison K. Spencer, Heather A. Lau, Matthew W. Nelson, Joseph D. Giuliano, Joseph W. Zabinski, Costas Boussios, Gary Curhan, Richard E. Gliklich, David G. Warnock |
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 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 9% |
| Researcher | 4 | 9% |
| Student > Doctoral Student | 3 | 7% |
| Professor > Associate Professor | 2 | 5% |
| Lecturer | 1 | 2% |
| Other | 5 | 12% |
| Unknown | 24 | 56% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 19% |
| Computer Science | 2 | 5% |
| Engineering | 2 | 5% |
| Business, Management and Accounting | 1 | 2% |
| Nursing and Health Professions | 1 | 2% |
| Other | 4 | 9% |
| Unknown | 25 | 58% |
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 21 December 2021.
All research outputs
#20,200,306
of 24,833,726 outputs
Outputs from Orphanet Journal of Rare Diseases
#2,378
of 2,983 outputs
Outputs of similar age
#381,848
of 512,376 outputs
Outputs of similar age from Orphanet Journal of Rare Diseases
#65
of 83 outputs
Altmetric has tracked 24,833,726 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 2,983 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one is in the 5th percentile – i.e., 5% 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 512,376 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 83 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.