↓ Skip to main content

The clinic-based predictive modeling for prognosis of patients with cryptococcal meningitis

Overview of attention for article published in BMC Infectious Diseases, May 2023
Altmetric Badge

Mentioned by

twitter
1 X user

Readers on

mendeley
5 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
The clinic-based predictive modeling for prognosis of patients with cryptococcal meningitis
Published in
BMC Infectious Diseases, May 2023
DOI 10.1186/s12879-023-08337-2
Pubmed ID
Authors

Chen Zhang, Zixian He, Zheren Tan, Fafa Tian

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

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 20%
Student > Master 1 20%
Unknown 3 60%
Readers by discipline Count As %
Unspecified 1 20%
Medicine and Dentistry 1 20%
Unknown 3 60%
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 25 May 2023.
All research outputs
#21,178,329
of 23,839,820 outputs
Outputs from BMC Infectious Diseases
#6,689
of 7,921 outputs
Outputs of similar age
#149,203
of 192,431 outputs
Outputs of similar age from BMC Infectious Diseases
#72
of 83 outputs
Altmetric has tracked 23,839,820 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,921 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one is in the 1st percentile – i.e., 1% 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 192,431 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 83 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.