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A Predictive Model for Avoiding Follow-Up Paracentesis in Spontaneous Bacterial Peritonitis

Overview of attention for article published in GE-Portuguese Journal of Gastroenterology, November 2021
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1 X user

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2 Mendeley
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Title
A Predictive Model for Avoiding Follow-Up Paracentesis in Spontaneous Bacterial Peritonitis
Published in
GE-Portuguese Journal of Gastroenterology, November 2021
DOI 10.1159/000519934
Pubmed ID
Authors

Ana Luísa Santos, Rosa Coelho, Marco Silva, Rui Morais, Hélder Cardoso, Guilherme Macedo

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

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 1 50%
Unknown 1 50%
Readers by discipline Count As %
Medicine and Dentistry 1 50%
Unknown 1 50%
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 29 November 2021.
All research outputs
#20,669,432
of 25,392,582 outputs
Outputs from GE-Portuguese Journal of Gastroenterology
#121
of 198 outputs
Outputs of similar age
#386,723
of 514,256 outputs
Outputs of similar age from GE-Portuguese Journal of Gastroenterology
#6
of 13 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 198 research outputs from this source. They receive a mean Attention Score of 1.8. This one is in the 17th percentile – i.e., 17% 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 514,256 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.