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Mendeley readers
Attention Score in Context
| Title |
Connected mechanistic process modeling to predict a commercial biopharmaceutical downstream process
|
|---|---|
| Published in |
Computers & Chemical Engineering, August 2023
|
| DOI | 10.1016/j.compchemeng.2023.108292 |
| Authors |
Federico Rischawy, Till Briskot, Nathalie Hopf, David Saleh, Gang Wang, Simon Kluters, Joey Studts, Jürgen Hubbuch |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 22% |
| Student > Doctoral Student | 2 | 22% |
| Other | 2 | 22% |
| Student > Ph. D. Student | 1 | 11% |
| Unspecified | 1 | 11% |
| Other | 0 | 0% |
| Unknown | 1 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemical Engineering | 4 | 44% |
| Unspecified | 1 | 11% |
| Biochemistry, Genetics and Molecular Biology | 1 | 11% |
| Agricultural and Biological Sciences | 1 | 11% |
| Engineering | 1 | 11% |
| Other | 0 | 0% |
| Unknown | 1 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 07 June 2023.
All research outputs
#4,840,893
of 25,394,764 outputs
Outputs from Computers & Chemical Engineering
#49
of 971 outputs
Outputs of similar age
#80,750
of 358,370 outputs
Outputs of similar age from Computers & Chemical Engineering
#2
of 6 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 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 971 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done particularly well, scoring higher than 94% 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 76% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.