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Estimating extra length of stay and risk factors of mortality attributable to healthcare-associated infection at a Chinese university hospital: a multi-state model

Overview of attention for article published in BMC Infectious Diseases, November 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

news
1 news outlet
twitter
1 X user

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
49 Mendeley
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Title
Estimating extra length of stay and risk factors of mortality attributable to healthcare-associated infection at a Chinese university hospital: a multi-state model
Published in
BMC Infectious Diseases, November 2019
DOI 10.1186/s12879-019-4474-5
Pubmed ID
Authors

Qian Zhou, Lili Fan, Xiaoquan Lai, Li Tan, Xinping Zhang

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

Geographical breakdown

Country Count As %
Unknown 49 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 14%
Researcher 5 10%
Student > Doctoral Student 4 8%
Student > Bachelor 4 8%
Lecturer 4 8%
Other 11 22%
Unknown 14 29%
Readers by discipline Count As %
Medicine and Dentistry 7 14%
Nursing and Health Professions 6 12%
Biochemistry, Genetics and Molecular Biology 5 10%
Immunology and Microbiology 3 6%
Business, Management and Accounting 2 4%
Other 10 20%
Unknown 16 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 2023.
All research outputs
#3,230,779
of 24,778,793 outputs
Outputs from BMC Infectious Diseases
#1,071
of 8,320 outputs
Outputs of similar age
#73,623
of 468,937 outputs
Outputs of similar age from BMC Infectious Diseases
#18
of 172 outputs
Altmetric has tracked 24,778,793 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,320 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has done well, scoring higher than 86% 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 468,937 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 84% of its contemporaries.
We're also able to compare this research output to 172 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.