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Models to predict the short-term survival of acute-on-chronic liver failure patients following liver transplantation

Overview of attention for article published in BMC Gastroenterology, February 2022
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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 (75th percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
3 Mendeley
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Title
Models to predict the short-term survival of acute-on-chronic liver failure patients following liver transplantation
Published in
BMC Gastroenterology, February 2022
DOI 10.1186/s12876-022-02164-6
Pubmed ID
Authors

Min Yang, Bo Peng, Quan Zhuang, Junhui Li, Hong Liu, Ke Cheng, Yingzi Ming

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 33%
Student > Postgraduate 1 33%
Unknown 1 33%
Readers by discipline Count As %
Medicine and Dentistry 2 67%
Unspecified 1 33%

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 01 March 2022.
All research outputs
#3,966,089
of 21,898,821 outputs
Outputs from BMC Gastroenterology
#233
of 1,658 outputs
Outputs of similar age
#81,189
of 338,735 outputs
Outputs of similar age from BMC Gastroenterology
#1
of 1 outputs
Altmetric has tracked 21,898,821 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,658 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has done well, scoring higher than 84% 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 338,735 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 75% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them