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X Demographics
Mendeley readers
Attention Score in Context
| Title |
PyES – An open-source software for the computation of solution and precipitation equilibria
|
|---|---|
| Published in |
Chemometrics & Intelligent Laboratory Systems, August 2023
|
| DOI | 10.1016/j.chemolab.2023.104860 |
| Authors |
Lorenzo Castellino, Eugenio Alladio, Stefano Bertinetti, Gabriele Lando, Concetta De Stefano, Salvador Blasco, Enrique García-España, Sofia Gama, Silvia Berto, Demetrio Milea |
X Demographics
The data shown below were collected from the profiles of 14 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 | 14% |
| Japan | 1 | 7% |
| Poland | 1 | 7% |
| Unknown | 10 | 71% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 50% |
| Scientists | 7 | 50% |
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 % |
|---|---|---|
| Researcher | 3 | 30% |
| Student > Ph. D. Student | 2 | 20% |
| Professor | 1 | 10% |
| Lecturer | 1 | 10% |
| Student > Master | 1 | 10% |
| Other | 1 | 10% |
| Unknown | 1 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 4 | 40% |
| Biochemistry, Genetics and Molecular Biology | 1 | 10% |
| Mathematics | 1 | 10% |
| Unknown | 4 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 13 October 2023.
All research outputs
#3,310,798
of 25,394,764 outputs
Outputs from Chemometrics & Intelligent Laboratory Systems
#23
of 866 outputs
Outputs of similar age
#55,048
of 358,370 outputs
Outputs of similar age from Chemometrics & Intelligent Laboratory Systems
#2
of 16 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 866 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done particularly well, scoring higher than 97% 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 358,370 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.