The data shown below were collected from the profiles of 54 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.
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| 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 |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 4% |
| Thailand | 1 | 2% |
| Germany | 1 | 2% |
| Congo, The Democratic Republic of the | 1 | 2% |
| Nigeria | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 47 | 87% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 42 | 78% |
| Scientists | 12 | 22% |
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
This research output has an Altmetric Attention Score of 452. 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
#65,455
of 26,557,556 outputs
Outputs from Chem
#4
of 1,809 outputs
Outputs of similar age
#889
of 322,536 outputs
Outputs of similar age from Chem
#1
of 94 outputs
Altmetric has tracked 26,557,556 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 1,809 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.1. 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 322,536 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.