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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Can a decision support system accelerate rare disease diagnosis? Evaluating the potential impact of Ada DX in a retrospective study
|
|---|---|
| Published in |
Orphanet Journal of Rare Diseases, March 2019
|
| DOI | 10.1186/s13023-019-1040-6 |
| Pubmed ID | |
| Authors |
Simon Ronicke, Martin C. Hirsch, Ewelina Türk, Katharina Larionov, Daphne Tientcheu, Annette D. Wagner |
X Demographics
The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 4 | 25% |
| United Kingdom | 3 | 19% |
| United States | 1 | 6% |
| Switzerland | 1 | 6% |
| Côte d'Ivoire | 1 | 6% |
| Canada | 1 | 6% |
| France | 1 | 6% |
| India | 1 | 6% |
| Unknown | 3 | 19% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 75% |
| Scientists | 2 | 13% |
| Practitioners (doctors, other healthcare professionals) | 1 | 6% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 155 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 155 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 11% |
| Researcher | 16 | 10% |
| Student > Bachelor | 14 | 9% |
| Other | 12 | 8% |
| Student > Master | 12 | 8% |
| Other | 21 | 14% |
| Unknown | 63 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 40 | 26% |
| Biochemistry, Genetics and Molecular Biology | 14 | 9% |
| Computer Science | 6 | 4% |
| Nursing and Health Professions | 5 | 3% |
| Business, Management and Accounting | 5 | 3% |
| Other | 16 | 10% |
| Unknown | 69 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 24. 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 July 2021.
All research outputs
#1,544,164
of 24,998,746 outputs
Outputs from Orphanet Journal of Rare Diseases
#164
of 3,012 outputs
Outputs of similar age
#35,068
of 357,787 outputs
Outputs of similar age from Orphanet Journal of Rare Diseases
#3
of 52 outputs
Altmetric has tracked 24,998,746 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,012 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one has done particularly well, scoring higher than 94% of its peers.
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 357,787 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.