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Characterization and classification of Rare Disease Registries by using exploratory data analyses.

Overview of attention for article published in Orphanet Journal of Rare Diseases, December 2014
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 tweeters

Readers on

mendeley
4 Mendeley
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Title
Characterization and classification of Rare Disease Registries by using exploratory data analyses.
Published in
Orphanet Journal of Rare Diseases, December 2014
DOI 10.1186/1750-1172-9-s1-p4
Pubmed ID
Authors

Alessio Coi, Michele Santoro, Michele Lipucci, Anna Maria Bianucci, Sabina Gainotti, Emanuela Mollo, Luciano Vittozzi, Domenica Taruscio, Fabrizio Bianchi

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 25%
Student > Postgraduate 1 25%
Student > Doctoral Student 1 25%
Unknown 1 25%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 1 25%
Medicine and Dentistry 1 25%
Unknown 2 50%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 19 March 2015.
All research outputs
#2,254,063
of 4,892,609 outputs
Outputs from Orphanet Journal of Rare Diseases
#450
of 828 outputs
Outputs of similar age
#69,963
of 146,136 outputs
Outputs of similar age from Orphanet Journal of Rare Diseases
#23
of 43 outputs
Altmetric has tracked 4,892,609 research outputs across all sources so far. This one has received more attention than most of these and is in the 51st percentile.
So far Altmetric has tracked 828 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 42nd percentile – i.e., 42% of its peers scored the same or lower than it.
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 146,136 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.