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Reconstructing the Developmental Trajectories of Multiple Subtypes in Pulmonary Parenchymal Epithelial Cells by Single-Cell RNA-seq

Overview of attention for article published in Frontiers in Genetics, October 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

twitter
7 X users

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
15 Mendeley
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Title
Reconstructing the Developmental Trajectories of Multiple Subtypes in Pulmonary Parenchymal Epithelial Cells by Single-Cell RNA-seq
Published in
Frontiers in Genetics, October 2020
DOI 10.3389/fgene.2020.573429
Pubmed ID
Authors

Yiwei Huang, Yuansheng Zheng, Jiacheng Yin, Tao Lu, Ming Li, Jiaqi Liang, Zhengyang Hu, Guoshu Bi, Cheng Zhan, Liang Xue, Wei Jiang, Qun Wang

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 27%
Student > Ph. D. Student 2 13%
Researcher 2 13%
Student > Bachelor 1 7%
Unknown 6 40%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 33%
Agricultural and Biological Sciences 2 13%
Immunology and Microbiology 1 7%
Medicine and Dentistry 1 7%
Unknown 6 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 November 2020.
All research outputs
#7,117,764
of 23,257,423 outputs
Outputs from Frontiers in Genetics
#2,217
of 12,290 outputs
Outputs of similar age
#155,816
of 414,465 outputs
Outputs of similar age from Frontiers in Genetics
#93
of 452 outputs
Altmetric has tracked 23,257,423 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 12,290 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 81% of its peers.
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 414,465 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.
We're also able to compare this research output to 452 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.