↓ Skip to main content

Gene hunting in autoinflammation

Overview of attention for article published in Clinical and Translational Allergy, September 2013
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)

Mentioned by

twitter
4 tweeters

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
9 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Gene hunting in autoinflammation
Published in
Clinical and Translational Allergy, September 2013
DOI 10.1186/2045-7022-3-32
Pubmed ID
Authors

Ariane Standing, Ebun Omoyinmi, Paul Brogan

Abstract

Steady progress in our understanding of the genetic basis of autoinflammatory diseases has been made over the past 16 years. Since the discovery of the familial Mediterranean fever gene MEFV (also known as marenostrin) in 1997, 18 other genes responsible for monogenic autoinflammatory diseases have been identified to date. The discovery of these genes was made through the utilisation of many genetic mapping techniques, including next generation sequencing platforms. This review article clearly describes the gene hunting approaches, methods of data analysis and the technological platforms used, which has relevance to all those working within the field of gene discovery for Mendelian disorders.

Twitter Demographics

The data shown below were collected from the profiles of 4 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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Other 2 22%
Student > Bachelor 1 11%
Lecturer 1 11%
Lecturer > Senior Lecturer 1 11%
Student > Ph. D. Student 1 11%
Other 2 22%
Unknown 1 11%
Readers by discipline Count As %
Medicine and Dentistry 5 56%
Agricultural and Biological Sciences 2 22%
Design 1 11%
Unknown 1 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 07 October 2013.
All research outputs
#5,932,400
of 11,349,388 outputs
Outputs from Clinical and Translational Allergy
#221
of 337 outputs
Outputs of similar age
#55,854
of 148,280 outputs
Outputs of similar age from Clinical and Translational Allergy
#7
of 9 outputs
Altmetric has tracked 11,349,388 research outputs across all sources so far. This one is in the 47th percentile – i.e., 47% of other outputs scored the same or lower than it.
So far Altmetric has tracked 337 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. This one is in the 32nd percentile – i.e., 32% 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 148,280 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 61% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.