↓ Skip to main content

Evaluation of the impact of the Accelerate Pheno™ system on time to result for differing antimicrobial stewardship intervention models in patients with gram-negative bloodstream infections

Overview of attention for article published in BMC Infectious Diseases, November 2019
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
35 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
Evaluation of the impact of the Accelerate Pheno™ system on time to result for differing antimicrobial stewardship intervention models in patients with gram-negative bloodstream infections
Published in
BMC Infectious Diseases, November 2019
DOI 10.1186/s12879-019-4591-1
Pubmed ID
Authors

Gerald Elliott, Michael Malczynski, Viktorjia O. Barr, Doaa Aljefri, David Martin, Sarah Sutton, Teresa R. Zembower, Michael Postelnick, Chao Qi

X Demographics

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

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 17%
Student > Ph. D. Student 3 9%
Student > Postgraduate 3 9%
Student > Master 3 9%
Student > Doctoral Student 2 6%
Other 6 17%
Unknown 12 34%
Readers by discipline Count As %
Medicine and Dentistry 10 29%
Pharmacology, Toxicology and Pharmaceutical Science 3 9%
Nursing and Health Professions 2 6%
Environmental Science 2 6%
Chemistry 2 6%
Other 6 17%
Unknown 10 29%
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 09 November 2019.
All research outputs
#15,586,847
of 23,172,045 outputs
Outputs from BMC Infectious Diseases
#4,550
of 7,769 outputs
Outputs of similar age
#226,502
of 366,254 outputs
Outputs of similar age from BMC Infectious Diseases
#82
of 157 outputs
Altmetric has tracked 23,172,045 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,769 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one is in the 33rd percentile – i.e., 33% 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 366,254 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 157 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.