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 |
Modeling of the Copolymerization of Propylene with 1‐Hexene to Predict the Copolymer Molecular Weight and Composition
|
|---|---|
| Published in |
Macromolecular Reaction Engineering, March 2023
|
| DOI | 10.1002/mren.202200078 |
| Authors |
Franco Herrero, Adriana Brandolin, Claudia Sarmoria, Mariano Asteasuain |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Finland | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 1 | 100% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 1 | 100% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 15 March 2023.
All research outputs
#14,198,036
of 23,539,593 outputs
Outputs from Macromolecular Reaction Engineering
#93
of 426 outputs
Outputs of similar age
#154,875
of 363,009 outputs
Outputs of similar age from Macromolecular Reaction Engineering
#1
of 5 outputs
Altmetric has tracked 23,539,593 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 426 research outputs from this source. They receive a mean Attention Score of 1.5. This one has done well, scoring higher than 77% 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 363,009 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them