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Animal experimental research design in critical care

Overview of attention for article published in BMC Medical Research Methodology, July 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

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1 blog
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3 X users

Citations

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4 Dimensions

Readers on

mendeley
24 Mendeley
Title
Animal experimental research design in critical care
Published in
BMC Medical Research Methodology, July 2018
DOI 10.1186/s12874-018-0526-6
Pubmed ID
Authors

Justin S. Merkow, Janine M. Hoerauf, Angela F. Moss, Jason Brainard, Lena M. Mayes, Ana Fernandez-Bustamante, Susan K. Mikulich-Gilbertson, Karsten Bartels

Abstract

Limited translational success in critical care medicine is thought to be in part due to inadequate methodology, study design, and reporting in preclinical studies. The purpose of this study was to compare reporting of core features of experimental rigor: blinding, randomization, and power calculations in critical care medicine animal experimental research. We hypothesized that these study design characteristics were more frequently reported in 2015 versus 2005. We performed an observational bibliometric study to grade manuscripts on blinding, randomization, and power calculations. Chi-square tests and logistic regression were used for analysis. Inter-rater agreement was assessed using kappa and Gwet's AC1. A total of 825 articles from seven journals were included. In 2005, power estimations were reported in 2%, randomization in 35%, and blinding in 20% (n = 482). In 2015, these metrics were included in 9, 47, and 36% of articles (n = 343). The increase in proportion for the metrics tested was statistically significant (p < 0.001, p = 0.002, and p < 0.001). Only a minority of published manuscripts in critical care medicine journals reported on recommended study design steps to increase rigor. Routine justification for the presence or absence of blinding, randomization, and power calculations should be considered to better enable readers to assess potential sources of bias.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 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 %
Professor > Associate Professor 3 13%
Student > Ph. D. Student 3 13%
Student > Doctoral Student 2 8%
Researcher 2 8%
Student > Bachelor 1 4%
Other 1 4%
Unknown 12 50%
Readers by discipline Count As %
Medicine and Dentistry 4 17%
Pharmacology, Toxicology and Pharmaceutical Science 2 8%
Arts and Humanities 1 4%
Business, Management and Accounting 1 4%
Veterinary Science and Veterinary Medicine 1 4%
Other 4 17%
Unknown 11 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 10 September 2018.
All research outputs
#3,889,193
of 23,881,329 outputs
Outputs from BMC Medical Research Methodology
#601
of 2,102 outputs
Outputs of similar age
#73,234
of 329,479 outputs
Outputs of similar age from BMC Medical Research Methodology
#19
of 41 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,102 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has gotten more attention than average, scoring higher than 71% 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 329,479 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 77% of its contemporaries.
We're also able to compare this research output to 41 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.