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Assessing the feasibility of a web-based registry for multiple orphan lung diseases: the Australasian Registry Network for Orphan Lung Disease (ARNOLD) experience

Overview of attention for article published in Orphanet Journal of Rare Diseases, April 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

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Title
Assessing the feasibility of a web-based registry for multiple orphan lung diseases: the Australasian Registry Network for Orphan Lung Disease (ARNOLD) experience
Published in
Orphanet Journal of Rare Diseases, April 2016
DOI 10.1186/s13023-016-0389-z
Pubmed ID
Authors

K. Casamento, A. Laverty, M. Wilsher, J. Twiss, E. Gabbay, I. Glaspole, A. Jaffe, On behalf the Pulmonary Interstitial Vascular Organisational Taskforce (PIVOT) of the Lung Foundation Australia

Abstract

We investigated the feasibility of using an online registry to provide prevalence data for multiple orphan lung diseases in Australia and New Zealand. A web-based registry, The Australasian Registry Network of Orphan Lung Diseases (ARNOLD) was developed based on the existing British Paediatric Orphan Lung Disease Registry. All adult and paediatric respiratory physicians who were members of the Thoracic Society of Australia and New Zealand in Australia and New Zealand were sent regular emails between July 2009 and June 2014 requesting information on patients they had seen with any of 30 rare lung diseases. Prevalence rates were calculated using population statistics. Emails were sent to 649 Australian respiratory physicians and 65 in New Zealand. 231 (32.4 %) physicians responded to emails a total of 1554 times (average 7.6 responses per physician). Prevalence rates of 30 rare lung diseases are reported. A multi-disease rare lung disease registry was implemented in the Australian and New Zealand health care settings that provided prevalence data on orphan lung diseases in this region but was limited by under reporting.

X Demographics

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.
Mendeley readers

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 %
Unspecified 4 16%
Researcher 4 16%
Student > Master 4 16%
Professor 3 12%
Student > Doctoral Student 2 8%
Other 6 24%
Unknown 2 8%
Readers by discipline Count As %
Medicine and Dentistry 8 32%
Unspecified 4 16%
Nursing and Health Professions 4 16%
Biochemistry, Genetics and Molecular Biology 3 12%
Agricultural and Biological Sciences 1 4%
Other 3 12%
Unknown 2 8%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 24 May 2016.
All research outputs
#4,708,139
of 22,862,742 outputs
Outputs from Orphanet Journal of Rare Diseases
#629
of 2,626 outputs
Outputs of similar age
#73,679
of 299,111 outputs
Outputs of similar age from Orphanet Journal of Rare Diseases
#13
of 30 outputs
Altmetric has tracked 22,862,742 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,626 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.5. This one has done well, scoring higher than 75% 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 299,111 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 30 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 56% of its contemporaries.