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Decoding ceRNA regulatory network in the pulmonary artery of hypoxia-induced pulmonary hypertension (HPH) rat model

Overview of attention for article published in Cell & Bioscience, March 2022
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1 X user

Citations

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10 Dimensions

Readers on

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7 Mendeley
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Title
Decoding ceRNA regulatory network in the pulmonary artery of hypoxia-induced pulmonary hypertension (HPH) rat model
Published in
Cell & Bioscience, March 2022
DOI 10.1186/s13578-022-00762-1
Pubmed ID
Authors

Jun Wang, Yanqin Niu, Lingjie Luo, Zefeng Lu, Qinghua Chen, Shasha Zhang, Qianwen Guo, Li Li, Deming Gou

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 %
Researcher 2 29%
Unknown 5 71%
Readers by discipline Count As %
Chemistry 1 14%
Medicine and Dentistry 1 14%
Unknown 5 71%
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 08 March 2022.
All research outputs
#20,698,519
of 23,298,349 outputs
Outputs from Cell & Bioscience
#845
of 974 outputs
Outputs of similar age
#361,601
of 440,195 outputs
Outputs of similar age from Cell & Bioscience
#31
of 38 outputs
Altmetric has tracked 23,298,349 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 974 research outputs from this source. They receive a mean Attention Score of 3.7. 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 440,195 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 38 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.