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X Demographics
Mendeley readers
Attention Score in Context
| Title |
LipoDDx: a mobile application for identification of rare lipodystrophy syndromes
|
|---|---|
| Published in |
Orphanet Journal of Rare Diseases, April 2020
|
| DOI | 10.1186/s13023-020-01364-1 |
| Pubmed ID | |
| Authors |
David Araújo-Vilar, Antía Fernández-Pombo, Gemma Rodríguez-Carnero, Miguel Ángel Martínez-Olmos, Ana Cantón, Rocío Villar-Taibo, Álvaro Hermida-Ameijeiras, Alicia Santamaría-Nieto, Carmen Díaz-Ortega, Carmen Martínez-Rey, Antonio Antela, Elena Losada, Andrés E. Muy-Pérez, Blanca González-Méndez, Sofía Sánchez-Iglesias |
X Demographics
The data shown below were collected from the profiles of 5 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 | 3 | 60% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 3 | 10% |
| Student > Bachelor | 3 | 10% |
| Student > Ph. D. Student | 3 | 10% |
| Student > Doctoral Student | 2 | 7% |
| Other | 2 | 7% |
| Other | 5 | 17% |
| Unknown | 12 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 17% |
| Nursing and Health Professions | 4 | 13% |
| Unspecified | 3 | 10% |
| Biochemistry, Genetics and Molecular Biology | 2 | 7% |
| Psychology | 2 | 7% |
| Other | 2 | 7% |
| Unknown | 12 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 08 April 2020.
All research outputs
#6,920,708
of 23,201,298 outputs
Outputs from Orphanet Journal of Rare Diseases
#972
of 2,664 outputs
Outputs of similar age
#133,601
of 371,024 outputs
Outputs of similar age from Orphanet Journal of Rare Diseases
#13
of 36 outputs
Altmetric has tracked 23,201,298 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 2,664 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has gotten more attention than average, scoring higher than 63% 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 371,024 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 63% 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 gotten more attention than average, scoring higher than 63% of its contemporaries.