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X Demographics
Mendeley readers
Attention Score in Context
Title |
Identifying a Lung Stem Cell Subpopulation by Combining Single-Cell Morphometrics, Organoid Culture, and Transcriptomics
|
---|---|
Published in |
Stem Cells, July 2023
|
DOI | 10.1093/stmcls/sxad044 |
Pubmed ID | |
Authors |
Takashi Fujimura, Yasunori Enomoto, Hiroaki Katsura, Taisaku Ogawa, Saori Baba, Akira Ogata, Akira Yamaoka, Katsuyuki Shiroguchi, Mitsuru Morimoto |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 20% |
Korea, Democratic People's Republic of | 1 | 10% |
Japan | 1 | 10% |
Unknown | 6 | 60% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 7 | 70% |
Science communicators (journalists, bloggers, editors) | 2 | 20% |
Scientists | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 9 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Unspecified | 3 | 33% |
Researcher | 2 | 22% |
Student > Ph. D. Student | 1 | 11% |
Student > Doctoral Student | 1 | 11% |
Unknown | 2 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Unspecified | 3 | 33% |
Biochemistry, Genetics and Molecular Biology | 2 | 22% |
Agricultural and Biological Sciences | 1 | 11% |
Medicine and Dentistry | 1 | 11% |
Unknown | 2 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 12 September 2023.
All research outputs
#1,821,502
of 24,417,958 outputs
Outputs from Stem Cells
#257
of 3,986 outputs
Outputs of similar age
#28,448
of 323,743 outputs
Outputs of similar age from Stem Cells
#1
of 19 outputs
Altmetric has tracked 24,417,958 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,986 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.8. This one has done particularly well, scoring higher than 93% 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 323,743 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 91% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.