↓ Skip to main content

Prediction of Early Mortality Among Children With Moderate or Severe Traumatic Brain Injury Based on a Nomogram Integrating Radiological and Inflammation-Based Biomarkers

Overview of attention for article published in Frontiers in Neurology, May 2022
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
12 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
Prediction of Early Mortality Among Children With Moderate or Severe Traumatic Brain Injury Based on a Nomogram Integrating Radiological and Inflammation-Based Biomarkers
Published in
Frontiers in Neurology, May 2022
DOI 10.3389/fneur.2022.865084
Pubmed ID
Authors

Pingyi Zhu, Nimo Mohamed Hussein, Jing Tang, Lulu Lin, Yu Wang, Lan Li, Kun Shu, Pinfa Zou, Yikai Xia, Guanghui Bai, Zhihan Yan, Xinjian Ye

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 17%
Unspecified 1 8%
Student > Bachelor 1 8%
Researcher 1 8%
Student > Master 1 8%
Other 0 0%
Unknown 6 50%
Readers by discipline Count As %
Medicine and Dentistry 3 25%
Unspecified 1 8%
Nursing and Health Professions 1 8%
Biochemistry, Genetics and Molecular Biology 1 8%
Unknown 6 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 20 May 2022.
All research outputs
#18,146,485
of 23,312,088 outputs
Outputs from Frontiers in Neurology
#7,283
of 12,235 outputs
Outputs of similar age
#296,298
of 440,844 outputs
Outputs of similar age from Frontiers in Neurology
#330
of 745 outputs
Altmetric has tracked 23,312,088 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,235 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one is in the 34th percentile – i.e., 34% 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 440,844 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 745 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.