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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A population-based registry as a source of health indicators for rare diseases: the ten-year experience of the Veneto Region’s rare diseases registry
|
|---|---|
| Published in |
Orphanet Journal of Rare Diseases, March 2014
|
| DOI | 10.1186/1750-1172-9-37 |
| Pubmed ID | |
| Authors |
Monica Mazzucato, Laura Visonà Dalla Pozza, Silvia Manea, Cinzia Minichiello, Paola Facchin |
| Abstract |
Although rare diseases have become a major public health issue, there is a paucity of population-based data on rare diseases. The aim of this epidemiological study was to provide descriptive figures referring to a sizable group of unrelated rare diseases. |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 25% |
| France | 1 | 13% |
| Canada | 1 | 13% |
| United States | 1 | 13% |
| Unknown | 3 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 88% |
| Scientists | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| Italy | 1 | <1% |
| Unknown | 100 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 17% |
| Researcher | 16 | 16% |
| Student > Master | 12 | 12% |
| Student > Doctoral Student | 6 | 6% |
| Student > Bachelor | 6 | 6% |
| Other | 22 | 22% |
| Unknown | 23 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 34 | 33% |
| Biochemistry, Genetics and Molecular Biology | 11 | 11% |
| Nursing and Health Professions | 8 | 8% |
| Social Sciences | 5 | 5% |
| Computer Science | 4 | 4% |
| Other | 16 | 16% |
| Unknown | 24 | 24% |
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 14 June 2014.
All research outputs
#6,782,618
of 24,878,531 outputs
Outputs from Orphanet Journal of Rare Diseases
#905
of 2,991 outputs
Outputs of similar age
#59,937
of 229,033 outputs
Outputs of similar age from Orphanet Journal of Rare Diseases
#6
of 25 outputs
Altmetric has tracked 24,878,531 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 2,991 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one has gotten more attention than average, scoring higher than 69% 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 229,033 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 73% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.