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Experimentally modeling the emergence of prebiotically plausible phospholipid vesicles

Overview of attention for article published in Chem, June 2024
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#4 of 1,820)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
53 news outlets
blogs
5 blogs
twitter
52 X users
video
2 YouTube creators

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
10 Mendeley
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Title
Experimentally modeling the emergence of prebiotically plausible phospholipid vesicles
Published in
Chem, June 2024
DOI 10.1016/j.chempr.2024.02.007
Authors

Sunil Pulletikurti, Kollery S. Veena, Mahipal Yadav, Ashok A. Deniz, Ramanarayanan Krishnamurthy

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 52 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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 30%
Researcher 2 20%
Professor > Associate Professor 1 10%
Student > Master 1 10%
Unknown 3 30%
Readers by discipline Count As %
Chemistry 3 30%
Biochemistry, Genetics and Molecular Biology 2 20%
Physics and Astronomy 1 10%
Earth and Planetary Sciences 1 10%
Unknown 3 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 451. 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 01 August 2024.
All research outputs
#66,034
of 26,625,282 outputs
Outputs from Chem
#4
of 1,820 outputs
Outputs of similar age
#906
of 325,197 outputs
Outputs of similar age from Chem
#1
of 94 outputs
Altmetric has tracked 26,625,282 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,820 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.9. This one has done particularly well, scoring higher than 99% 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 325,197 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 99% of its contemporaries.
We're also able to compare this research output to 94 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 98% of its contemporaries.