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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Emergence of metabolic-like cycles in blockchain-orchestrated reaction networks
|
|---|---|
| Published in |
Chem, March 2024
|
| DOI | 10.1016/j.chempr.2023.12.009 |
| Authors |
Rafał Roszak, Agnieszka Wołos, Marcin Benke, Łukasz Gleń, Jakub Konka, Phillip Jensen, Paweł Burgchardt, Anna Żądło-Dobrowolska, Piotr Janiuk, Sara Szymkuć, Bartosz A. Grzybowski |
X Demographics
The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 2 | 15% |
| Spain | 1 | 8% |
| United States | 1 | 8% |
| Unknown | 9 | 69% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 69% |
| Scientists | 3 | 23% |
| Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 2 | 40% |
| Student > Ph. D. Student | 1 | 20% |
| Professor > Associate Professor | 1 | 20% |
| Researcher | 1 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 2 | 40% |
| Biochemistry, Genetics and Molecular Biology | 1 | 20% |
| Medicine and Dentistry | 1 | 20% |
| Unknown | 1 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 247. 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 02 February 2024.
All research outputs
#151,615
of 25,523,622 outputs
Outputs from Chem
#8
of 1,690 outputs
Outputs of similar age
#1,286
of 220,386 outputs
Outputs of similar age from Chem
#2
of 58 outputs
Altmetric has tracked 25,523,622 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 1,690 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.7. 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 220,386 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 58 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.