↓ Skip to main content

Cochrane Database of Systematic Reviews

Hospital nurse‐staffing models and patient‐ and staff‐related outcomes

Overview of attention for article published in Cochrane database of systematic reviews, April 2019
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

policy
1 policy source
twitter
94 X users
facebook
1 Facebook page

Citations

dimensions_citation
89 Dimensions

Readers on

mendeley
565 Mendeley
Title
Hospital nurse‐staffing models and patient‐ and staff‐related outcomes
Published in
Cochrane database of systematic reviews, April 2019
DOI 10.1002/14651858.cd007019.pub3
Pubmed ID
Authors

Michelle Butler, Timothy J Schultz, Phil Halligan, Ann Sheridan, Leigh Kinsman, Thomas Rotter, Jonathan Beaumier, Robyn Gail Kelly, Jonathan Drennan

X Demographics

X Demographics

The data shown below were collected from the profiles of 94 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 565 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Norway 1 <1%
Canada 1 <1%
Unknown 563 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 68 12%
Student > Bachelor 58 10%
Student > Ph. D. Student 42 7%
Researcher 38 7%
Student > Doctoral Student 23 4%
Other 98 17%
Unknown 238 42%
Readers by discipline Count As %
Nursing and Health Professions 154 27%
Medicine and Dentistry 86 15%
Social Sciences 24 4%
Psychology 6 1%
Pharmacology, Toxicology and Pharmaceutical Science 6 1%
Other 36 6%
Unknown 253 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 65. 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 18 July 2023.
All research outputs
#663,938
of 25,500,206 outputs
Outputs from Cochrane database of systematic reviews
#1,229
of 13,141 outputs
Outputs of similar age
#14,921
of 363,641 outputs
Outputs of similar age from Cochrane database of systematic reviews
#26
of 180 outputs
Altmetric has tracked 25,500,206 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,141 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 35.7. This one has done particularly well, scoring higher than 90% 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 363,641 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 180 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.