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Feasibility of self-collection of fecal specimens by randomly sampled women for health-related studies of the gut microbiome

Overview of attention for article published in BMC Research Notes, April 2014
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1 tweeter

Citations

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Title
Feasibility of self-collection of fecal specimens by randomly sampled women for health-related studies of the gut microbiome
Published in
BMC Research Notes, April 2014
DOI 10.1186/1756-0500-7-204
Pubmed ID
Authors

Heather Spencer Feigelson, Kimberly Bischoff, Mary-Anne E Ardini, Jacques Ravel, Mitchell H Gail, Roberto Flores, James J Goedert

Abstract

The field of microbiome research is growing rapidly. We developed a method for self-collection of fecal specimens that can be used in population-based studies of the gut microbiome. We conducted a pilot study to test the feasibility of our methods among a random sample of healthy, postmenopausal women who are members of Kaiser Permanente Colorado (KPCO). We aimed to collect questionnaire data, fecal and urine specimens from 60 women, aged 55-69, who recently had a normal screening mammogram. We designed the study such that all questionnaire data and specimens could be collected at home.

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 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Unknown 30 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 29%
Researcher 8 26%
Other 2 6%
Student > Bachelor 2 6%
Student > Doctoral Student 2 6%
Other 3 10%
Unknown 5 16%
Readers by discipline Count As %
Medicine and Dentistry 9 29%
Agricultural and Biological Sciences 6 19%
Immunology and Microbiology 3 10%
Chemistry 3 10%
Sports and Recreations 1 3%
Other 2 6%
Unknown 7 23%

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 April 2014.
All research outputs
#9,958,751
of 12,440,396 outputs
Outputs from BMC Research Notes
#1,934
of 2,786 outputs
Outputs of similar age
#130,782
of 193,053 outputs
Outputs of similar age from BMC Research Notes
#25
of 33 outputs
Altmetric has tracked 12,440,396 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,786 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 16th percentile – i.e., 16% 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 193,053 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.