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Modeling lung diseases using reversibly immortalized mouse pulmonary alveolar type 2 cells (imPAC2)

Overview of attention for article published in Cell & Bioscience, September 2022
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2 X users

Citations

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Readers on

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Title
Modeling lung diseases using reversibly immortalized mouse pulmonary alveolar type 2 cells (imPAC2)
Published in
Cell & Bioscience, September 2022
DOI 10.1186/s13578-022-00894-4
Pubmed ID
Authors

Linghuan Zhang, Wenping Luo, Jiang Liu, Maozhu Xu, Qi Peng, Wenjing Zou, Jingyi You, Yi Shu, Piao Zhao, William Wagstaff, Guozhi Zhao, Kevin Qin, Rex C. Haydon, Hue H. Luu, Russell R. Reid, Yang Bi, Tianyu Zhao, Tong-Chuan He, Zhou Fu

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 18%
Student > Bachelor 1 9%
Unspecified 1 9%
Unknown 7 64%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 18%
Unspecified 1 9%
Agricultural and Biological Sciences 1 9%
Medicine and Dentistry 1 9%
Unknown 6 55%
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 23 September 2022.
All research outputs
#18,881,258
of 23,393,453 outputs
Outputs from Cell & Bioscience
#585
of 989 outputs
Outputs of similar age
#304,340
of 437,458 outputs
Outputs of similar age from Cell & Bioscience
#37
of 58 outputs
Altmetric has tracked 23,393,453 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 989 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 14th percentile – i.e., 14% 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 437,458 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.