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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A review of mechanistic learning in mathematical oncology
|
|---|---|
| Published in |
Frontiers in immunology, March 2024
|
| DOI | 10.3389/fimmu.2024.1363144 |
| Pubmed ID | |
| Authors |
John Metzcar, Catherine R. Jutzeler, Paul Macklin, Alvaro Köhn-Luque, Sarah C. Brüningk |
X Demographics
The data shown below were collected from the profiles of 18 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 | 5 | 28% |
| United Kingdom | 2 | 11% |
| Spain | 2 | 11% |
| Norway | 2 | 11% |
| Germany | 1 | 6% |
| Australia | 1 | 6% |
| Unknown | 5 | 28% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 11 | 61% |
| Members of the public | 7 | 39% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 2 | 9% |
| Student > Bachelor | 2 | 9% |
| Researcher | 2 | 9% |
| Student > Ph. D. Student | 2 | 9% |
| Other | 1 | 5% |
| Other | 2 | 9% |
| Unknown | 11 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 2 | 9% |
| Biochemistry, Genetics and Molecular Biology | 2 | 9% |
| Mathematics | 2 | 9% |
| Computer Science | 2 | 9% |
| Medicine and Dentistry | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 12 | 55% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 21 March 2024.
All research outputs
#2,013,862
of 25,806,763 outputs
Outputs from Frontiers in immunology
#1,937
of 32,415 outputs
Outputs of similar age
#27,024
of 320,149 outputs
Outputs of similar age from Frontiers in immunology
#32
of 1,199 outputs
Altmetric has tracked 25,806,763 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 32,415 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. 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 320,149 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 1,199 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.