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ITGB5 and AGFG1 variants are associated with severity of airway responsiveness

Overview of attention for article published in BMC Medical Genomics, August 2013
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Title
ITGB5 and AGFG1 variants are associated with severity of airway responsiveness
Published in
BMC Medical Genomics, August 2013
DOI 10.1186/1471-2350-14-86
Pubmed ID
Authors

Blanca E Himes, Weiliang Qiu, Barbara Klanderman, John Ziniti, Jody Senter-Sylvia, Stanley J Szefler, Robert F Lemanske, Jr, Robert S Zeiger, Robert C Strunk, Fernando D Martinez, Homer Boushey, Vernon M Chinchilli, Elliot Israel, David Mauger, Gerard H Koppelman, Maartje AE Nieuwenhuis, Dirkje S Postma, Judith M Vonk, Nicholas Rafaels, Nadia N Hansel, Kathleen Barnes, Benjamin Raby, Kelan G Tantisira, Scott T Weiss

Abstract

Airway hyperresponsiveness (AHR), a primary characteristic of asthma, involves increased airway smooth muscle contractility in response to certain exposures. We sought to determine whether common genetic variants were associated with AHR severity.

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X Demographics

The data shown below were collected from the profile of 1 X user 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 17%
Researcher 4 17%
Student > Bachelor 2 8%
Student > Ph. D. Student 2 8%
Professor > Associate Professor 2 8%
Other 3 13%
Unknown 7 29%
Readers by discipline Count As %
Medicine and Dentistry 5 21%
Agricultural and Biological Sciences 3 13%
Biochemistry, Genetics and Molecular Biology 2 8%
Computer Science 2 8%
Nursing and Health Professions 1 4%
Other 2 8%
Unknown 9 38%
Attention Score in Context

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 07 January 2014.
All research outputs
#22,759,452
of 25,374,647 outputs
Outputs from BMC Medical Genomics
#2,010
of 2,444 outputs
Outputs of similar age
#188,723
of 212,171 outputs
Outputs of similar age from BMC Medical Genomics
#27
of 30 outputs
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So far Altmetric has tracked 2,444 research outputs from this source. They receive a mean Attention Score of 4.4. 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 212,171 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 30 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.