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Targeting under-diagnosis in hereditary hemorrhagic telangiectasia: a model approach for rare diseases?

Overview of attention for article published in Orphanet Journal of Rare Diseases, July 2014
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1 tweeter

Citations

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29 Mendeley
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Title
Targeting under-diagnosis in hereditary hemorrhagic telangiectasia: a model approach for rare diseases?
Published in
Orphanet Journal of Rare Diseases, July 2014
DOI 10.1186/s13023-014-0115-7
Pubmed ID
Authors

Giuseppe A Latino, Dale Brown, Richard H Glazier, Jonathan T Weyman, Marie E Faughnan

Abstract

Hereditary hemorrhagic telangiectasia (HHT), a rare autosomal dominant disease, is considered under-diagnosed. Our primary objective was to provide evidence of under-diagnosis of HHT in a North American population. We hypothesized that variation would exist in the diagnosed prevalence (D-prevalence) across regions in the province of Ontario, Canada and across age groups, due to under-diagnosis in certain groups. Our secondary objective was to collect data regarding contact and local access to consult specialists by HHT patients to help guide potential future diagnostic programs.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 28%
Student > Bachelor 5 17%
Student > Postgraduate 4 14%
Other 3 10%
Researcher 3 10%
Other 4 14%
Unknown 2 7%
Readers by discipline Count As %
Medicine and Dentistry 18 62%
Nursing and Health Professions 2 7%
Agricultural and Biological Sciences 2 7%
Psychology 1 3%
Energy 1 3%
Other 2 7%
Unknown 3 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 26 July 2014.
All research outputs
#3,579,202
of 4,507,778 outputs
Outputs from Orphanet Journal of Rare Diseases
#692
of 775 outputs
Outputs of similar age
#84,594
of 109,440 outputs
Outputs of similar age from Orphanet Journal of Rare Diseases
#38
of 44 outputs
Altmetric has tracked 4,507,778 research outputs across all sources so far. This one is in the 3rd percentile – i.e., 3% of other outputs scored the same or lower than it.
So far Altmetric has tracked 775 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 1st percentile – i.e., 1% 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 109,440 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.