| Title |
The use or generation of biomedical data and existing medicines to discover and establish new treatments for patients with rare diseases – recommendations of the IRDiRC Data Mining and Repurposing Task Force
|
|---|---|
| Published in |
Orphanet Journal of Rare Diseases, October 2019
|
| DOI | 10.1186/s13023-019-1193-3 |
| Pubmed ID | |
| Authors |
Noel T Southall, Madhusudan Natarajan, Lilian Pek Lian Lau, Anneliene Hechtelt Jonker, Benoît Deprez, Tim Guilliams, Lawrence Hunter, Carin MA Rademaker, Virginie Hivert, Diego Ardigò |
X Demographics
The data shown below were collected from the profiles of 21 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 10% |
| France | 2 | 10% |
| Turkey | 1 | 5% |
| Ireland | 1 | 5% |
| Italy | 1 | 5% |
| Belgium | 1 | 5% |
| Sweden | 1 | 5% |
| Netherlands | 1 | 5% |
| United Kingdom | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 9 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 18 | 86% |
| Scientists | 3 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 59 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 15% |
| Student > Ph. D. Student | 9 | 15% |
| Other | 8 | 14% |
| Student > Master | 6 | 10% |
| Student > Bachelor | 5 | 8% |
| Other | 9 | 15% |
| Unknown | 13 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 12% |
| Biochemistry, Genetics and Molecular Biology | 6 | 10% |
| Business, Management and Accounting | 5 | 8% |
| Engineering | 4 | 7% |
| Agricultural and Biological Sciences | 3 | 5% |
| Other | 16 | 27% |
| Unknown | 18 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 10 July 2020.
All research outputs
#1,962,385
of 23,168,000 outputs
Outputs from Orphanet Journal of Rare Diseases
#211
of 2,654 outputs
Outputs of similar age
#44,176
of 354,164 outputs
Outputs of similar age from Orphanet Journal of Rare Diseases
#2
of 36 outputs
Altmetric has tracked 23,168,000 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,654 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done particularly well, scoring higher than 92% 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 354,164 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 36 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 94% of its contemporaries.