↓ Skip to main content

Artificial Intelligence Can Effectively Predict Early Hematoma Expansion of Intracerebral Hemorrhage Analyzing Noncontrast Computed Tomography Image

Overview of attention for article published in Frontiers in Aging Neuroscience, May 2021
Altmetric Badge

About this Attention Score

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

Mentioned by

twitter
4 X users

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
31 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
Artificial Intelligence Can Effectively Predict Early Hematoma Expansion of Intracerebral Hemorrhage Analyzing Noncontrast Computed Tomography Image
Published in
Frontiers in Aging Neuroscience, May 2021
DOI 10.3389/fnagi.2021.632138
Pubmed ID
Authors

Linyang Teng, Qianwei Ren, Pingye Zhang, Zhenzhou Wu, Wei Guo, Tianhua Ren

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 13%
Student > Bachelor 3 10%
Student > Ph. D. Student 3 10%
Student > Doctoral Student 2 6%
Professor 1 3%
Other 2 6%
Unknown 16 52%
Readers by discipline Count As %
Medicine and Dentistry 4 13%
Computer Science 3 10%
Engineering 2 6%
Neuroscience 2 6%
Business, Management and Accounting 1 3%
Other 0 0%
Unknown 19 61%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 11 June 2021.
All research outputs
#15,276,867
of 25,011,008 outputs
Outputs from Frontiers in Aging Neuroscience
#3,539
of 5,398 outputs
Outputs of similar age
#221,790
of 440,208 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#135
of 206 outputs
Altmetric has tracked 25,011,008 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,398 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one is in the 33rd percentile – i.e., 33% 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 440,208 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 206 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.