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Modularize and Unite: Toward Creating a Functional Artificial Cell

Overview of attention for article published in Frontiers in Molecular Biosciences, November 2021
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Mentioned by

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1 X user

Citations

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17 Dimensions

Readers on

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29 Mendeley
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Title
Modularize and Unite: Toward Creating a Functional Artificial Cell
Published in
Frontiers in Molecular Biosciences, November 2021
DOI 10.3389/fmolb.2021.781986
Pubmed ID
Authors

Chen Wang, Junzhu Yang, Yuan Lu

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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 21%
Professor 3 10%
Researcher 3 10%
Student > Doctoral Student 2 7%
Student > Bachelor 1 3%
Other 4 14%
Unknown 10 34%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 17%
Engineering 3 10%
Chemistry 3 10%
Business, Management and Accounting 2 7%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 6 21%
Unknown 9 31%
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 06 December 2021.
All research outputs
#20,710,927
of 23,310,485 outputs
Outputs from Frontiers in Molecular Biosciences
#2,665
of 4,002 outputs
Outputs of similar age
#416,912
of 510,270 outputs
Outputs of similar age from Frontiers in Molecular Biosciences
#232
of 371 outputs
Altmetric has tracked 23,310,485 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 4,002 research outputs from this source. They receive a mean Attention Score of 3.3. 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 510,270 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 371 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.