| Title |
Development and Evaluation of a Prediction Model for Ascertaining Rheumatic Heart Disease Status in Administrative Data
|
|---|---|
| Published in |
Clinical Epidemiology, July 2020
|
| DOI | 10.2147/clep.s241588 |
| Pubmed ID | |
| Authors |
D Bond-Smith, R Seth, N de Klerk, L Nedkoff, M Anderson, J Hung, J Cannon, K Griffiths, J M Katzenellenbogen |
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 % |
|---|---|---|
| Curaçao | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 3 | 15% |
| Student > Doctoral Student | 3 | 15% |
| Student > Bachelor | 2 | 10% |
| Student > Ph. D. Student | 2 | 10% |
| Professor | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 8 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 20% |
| Unspecified | 3 | 15% |
| Economics, Econometrics and Finance | 1 | 5% |
| Nursing and Health Professions | 1 | 5% |
| Unknown | 11 | 55% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 20 August 2020.
All research outputs
#14,959,237
of 25,055,009 outputs
Outputs from Clinical Epidemiology
#414
of 782 outputs
Outputs of similar age
#209,279
of 404,466 outputs
Outputs of similar age from Clinical Epidemiology
#13
of 24 outputs
Altmetric has tracked 25,055,009 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 782 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one is in the 44th percentile – i.e., 44% 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 404,466 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.