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Identification and immunological characterization of endoplasmic reticulum stress-related molecular subtypes in bronchopulmonary dysplasia based on machine learning

Overview of attention for article published in Frontiers in Physiology, January 2023
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1 X user

Citations

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4 Dimensions

Readers on

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7 Mendeley
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Title
Identification and immunological characterization of endoplasmic reticulum stress-related molecular subtypes in bronchopulmonary dysplasia based on machine learning
Published in
Frontiers in Physiology, January 2023
DOI 10.3389/fphys.2022.1084650
Pubmed ID
Authors

Ziyu Tao, Yan Mao, Yifang Hu, Xinfang Tang, Jimei Wang, Ni Zeng, Yunlei Bao, Fei Luo, Chuyan Wu, Feng Jiang

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

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 29%
Student > Bachelor 1 14%
Unspecified 1 14%
Other 1 14%
Researcher 1 14%
Other 0 0%
Unknown 1 14%
Readers by discipline Count As %
Medicine and Dentistry 2 29%
Pharmacology, Toxicology and Pharmaceutical Science 1 14%
Unspecified 1 14%
Computer Science 1 14%
Engineering 1 14%
Other 0 0%
Unknown 1 14%
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 09 January 2023.
All research outputs
#20,886,375
of 23,507,888 outputs
Outputs from Frontiers in Physiology
#9,747
of 14,220 outputs
Outputs of similar age
#342,299
of 432,868 outputs
Outputs of similar age from Frontiers in Physiology
#340
of 579 outputs
Altmetric has tracked 23,507,888 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 14,220 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. 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 432,868 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 579 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.