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X Demographics
Mendeley readers
Attention Score in Context
| Title |
An inverse mapping approach for process systems engineering using automatic differentiation and the implicit function theorem
|
|---|---|
| Published in |
AIChE Journal, April 2023
|
| DOI | 10.1002/aic.18119 |
| Authors |
Victor Alves, John R. Kitchin, Fernando V. Lima |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 7 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 43% |
| Professor > Associate Professor | 1 | 14% |
| Student > Master | 1 | 14% |
| Unknown | 2 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 2 | 29% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 14% |
| Chemical Engineering | 1 | 14% |
| Medicine and Dentistry | 1 | 14% |
| Design | 1 | 14% |
| Other | 0 | 0% |
| Unknown | 1 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 26 April 2023.
All research outputs
#3,898,252
of 23,599,923 outputs
Outputs from AIChE Journal
#113
of 2,354 outputs
Outputs of similar age
#30,790
of 200,533 outputs
Outputs of similar age from AIChE Journal
#1
of 5 outputs
Altmetric has tracked 23,599,923 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,354 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 95% 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 200,533 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 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