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A Lung Ultrasound-Based Nomogram for the Prediction of Refractory Mycoplasma pneumoniae Pneumonia in Hospitalized Children

Overview of attention for article published in Infection and Drug Resistance, October 2022
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Mentioned by

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1 X user

Citations

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3 Dimensions

Readers on

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6 Mendeley
Title
A Lung Ultrasound-Based Nomogram for the Prediction of Refractory Mycoplasma pneumoniae Pneumonia in Hospitalized Children
Published in
Infection and Drug Resistance, October 2022
DOI 10.2147/idr.s387890
Pubmed ID
Authors

Gangtie Liu, Guanglei Wang, Zhan Yang, Guangfu Liu, Haijun Ma, Yong Lv, Feiyan Ma, Weiwei Zhu

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

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 33%
Unknown 4 67%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 1 17%
Agricultural and Biological Sciences 1 17%
Unknown 4 67%
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 31 October 2022.
All research outputs
#20,453,782
of 23,009,818 outputs
Outputs from Infection and Drug Resistance
#1,279
of 1,682 outputs
Outputs of similar age
#348,113
of 438,565 outputs
Outputs of similar age from Infection and Drug Resistance
#79
of 99 outputs
Altmetric has tracked 23,009,818 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 1,682 research outputs from this source. They receive a mean Attention Score of 3.8. 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 438,565 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 99 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.