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Early lineage specification defines alveolar epithelial ontogeny in the murine lung

Overview of attention for article published in Proceedings of the National Academy of Sciences of the United States of America, February 2019
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

news
9 news outlets
blogs
3 blogs
twitter
15 X users

Citations

dimensions_citation
121 Dimensions

Readers on

mendeley
111 Mendeley
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Title
Early lineage specification defines alveolar epithelial ontogeny in the murine lung
Published in
Proceedings of the National Academy of Sciences of the United States of America, February 2019
DOI 10.1073/pnas.1813952116
Pubmed ID
Authors

David B Frank, Ian J Penkala, Jarod A Zepp, Aravind Sivakumar, Ricardo Linares-Saldana, William J Zacharias, Katharine G Stolz, Josh Pankin, MinQi Lu, Qiaohong Wang, Apoorva Babu, Li Li, Su Zhou, Michael P Morley, Rajan Jain, Edward E Morrisey

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 111 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 22%
Researcher 18 16%
Student > Bachelor 9 8%
Student > Doctoral Student 6 5%
Student > Master 5 5%
Other 17 15%
Unknown 32 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 44 40%
Agricultural and Biological Sciences 9 8%
Medicine and Dentistry 9 8%
Unspecified 4 4%
Pharmacology, Toxicology and Pharmaceutical Science 2 2%
Other 9 8%
Unknown 34 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 87. 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 04 April 2024.
All research outputs
#502,616
of 25,874,560 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#8,752
of 103,881 outputs
Outputs of similar age
#11,435
of 368,561 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#184
of 1,046 outputs
Altmetric has tracked 25,874,560 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 103,881 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.7. This one has done particularly well, scoring higher than 91% 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 368,561 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 1,046 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.