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Evidence-based practice in Behçet’s disease: identifying areas of unmet need for 2014

Overview of attention for article published in Orphanet Journal of Rare Diseases, January 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

blogs
1 blog
twitter
7 tweeters

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
32 Mendeley
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Title
Evidence-based practice in Behçet’s disease: identifying areas of unmet need for 2014
Published in
Orphanet Journal of Rare Diseases, January 2014
DOI 10.1186/1750-1172-9-16
Pubmed ID
Authors

Robert J Barry, Bharat Markandey, Rahul Malhotra, Henry Knott, Nikita Joji, Mohammed Mubin, Alastair K Denniston, Phillip I Murray

Abstract

Behçet's Disease (BD) is characterized by a relapsing-remitting course, with symptoms of varying severity across almost all organ systems. There is a diverse array of therapeutic options with no universally accepted treatment regime, and it is thus important that clinical practice is evidence-based. We reviewed all currently available literature describing management of BD, and investigated whether evidence-based practice is possible for all disease manifestations, and assessed the range of therapeutic options tested.

Twitter Demographics

The data shown below were collected from the profiles of 7 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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Unknown 31 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 16%
Student > Ph. D. Student 5 16%
Student > Bachelor 3 9%
Professor 3 9%
Professor > Associate Professor 3 9%
Other 10 31%
Unknown 3 9%
Readers by discipline Count As %
Medicine and Dentistry 16 50%
Agricultural and Biological Sciences 4 13%
Psychology 3 9%
Engineering 2 6%
Nursing and Health Professions 1 3%
Other 0 0%
Unknown 6 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 23 March 2020.
All research outputs
#2,224,387
of 19,960,113 outputs
Outputs from Orphanet Journal of Rare Diseases
#264
of 2,180 outputs
Outputs of similar age
#29,698
of 278,067 outputs
Outputs of similar age from Orphanet Journal of Rare Diseases
#5
of 31 outputs
Altmetric has tracked 19,960,113 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,180 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one has done well, scoring higher than 87% 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 278,067 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 89% of its contemporaries.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.