Systems Medicine
Springer US
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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Virtual Populations for Quantitative Systems Pharmacology Models
|
|---|---|
| Book title |
Systems Medicine
|
| Published in |
Methods in molecular biology, April 2022
|
| DOI | 10.1007/978-1-0716-2265-0_8 |
| Pubmed ID | |
| Book ISBNs |
978-1-07-162264-3, 978-1-07-162265-0
|
| Authors |
Yougan Cheng, Ronny Straube, Abed E. Alnaif, Lu Huang, Tarek A. Leil, Brian J. Schmidt, Cheng, Yougan, Straube, Ronny, Alnaif, Abed E., Huang, Lu, Leil, Tarek A., Schmidt, Brian J. |
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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 24% |
| Student > Bachelor | 4 | 19% |
| Student > Ph. D. Student | 3 | 14% |
| Student > Postgraduate | 2 | 10% |
| Unknown | 7 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 19% |
| Chemical Engineering | 2 | 10% |
| Mathematics | 2 | 10% |
| Chemistry | 2 | 10% |
| Agricultural and Biological Sciences | 2 | 10% |
| Other | 3 | 14% |
| Unknown | 6 | 29% |
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 05 June 2022.
All research outputs
#14,492,558
of 23,312,088 outputs
Outputs from Methods in molecular biology
#4,255
of 13,324 outputs
Outputs of similar age
#212,266
of 441,731 outputs
Outputs of similar age from Methods in molecular biology
#101
of 408 outputs
Altmetric has tracked 23,312,088 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,324 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 67% 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 441,731 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 51% of its contemporaries.
We're also able to compare this research output to 408 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.