You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identification of risk features for complication in Gaucher’s disease patients: a machine learning analysis of the Spanish registry of Gaucher disease
|
|---|---|
| Published in |
Orphanet Journal of Rare Diseases, September 2020
|
| DOI | 10.1186/s13023-020-01520-7 |
| Pubmed ID | |
| Authors |
Marcio M. Andrade-Campos, Laura López de Frutos, Jorge J. Cebolla, Irene Serrano-Gonzalo, Blanca Medrano-Engay, Mercedes Roca-Espiau, Beatriz Gomez-Barrera, Jorge Pérez-Heredia, David Iniguez, Pilar Giraldo |
X Demographics
The data shown below were collected from the profiles of 7 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 | 29% |
| United Kingdom | 2 | 29% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 3 | 43% |
| Members of the public | 3 | 43% |
| Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 12% |
| Student > Doctoral Student | 2 | 8% |
| Other | 2 | 8% |
| Student > Master | 2 | 8% |
| Researcher | 2 | 8% |
| Other | 3 | 12% |
| Unknown | 11 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 16% |
| Medicine and Dentistry | 2 | 8% |
| Nursing and Health Professions | 1 | 4% |
| Agricultural and Biological Sciences | 1 | 4% |
| Business, Management and Accounting | 1 | 4% |
| Other | 4 | 16% |
| Unknown | 12 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 23 September 2020.
All research outputs
#6,669,674
of 23,988,888 outputs
Outputs from Orphanet Journal of Rare Diseases
#906
of 2,799 outputs
Outputs of similar age
#140,852
of 411,805 outputs
Outputs of similar age from Orphanet Journal of Rare Diseases
#14
of 60 outputs
Altmetric has tracked 23,988,888 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 2,799 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has gotten more attention than average, scoring higher than 67% 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 411,805 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.