| Title |
Mathematical Models of Cancer: When to Predict Novel Therapies, and When Not to
|
|---|---|
| Published in |
Bulletin of Mathematical Biology, July 2019
|
| DOI | 10.1007/s11538-019-00640-x |
| Pubmed ID | |
| Authors |
Renee Brady, Heiko Enderling |
X Demographics
The data shown below were collected from the profiles of 82 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 | 31 | 38% |
| United Kingdom | 4 | 5% |
| Germany | 2 | 2% |
| Italy | 2 | 2% |
| Kuwait | 1 | 1% |
| Peru | 1 | 1% |
| Finland | 1 | 1% |
| Switzerland | 1 | 1% |
| China | 1 | 1% |
| Other | 2 | 2% |
| Unknown | 36 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 43 | 52% |
| Members of the public | 31 | 38% |
| Science communicators (journalists, bloggers, editors) | 4 | 5% |
| Practitioners (doctors, other healthcare professionals) | 1 | 1% |
| Unknown | 3 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 110 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 17% |
| Student > Ph. D. Student | 14 | 13% |
| Student > Master | 12 | 11% |
| Student > Postgraduate | 6 | 5% |
| Student > Doctoral Student | 5 | 5% |
| Other | 17 | 15% |
| Unknown | 37 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Mathematics | 10 | 9% |
| Engineering | 10 | 9% |
| Biochemistry, Genetics and Molecular Biology | 9 | 8% |
| Medicine and Dentistry | 9 | 8% |
| Computer Science | 6 | 5% |
| Other | 25 | 23% |
| Unknown | 41 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 66. 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 12 June 2023.
All research outputs
#658,521
of 25,998,826 outputs
Outputs from Bulletin of Mathematical Biology
#12
of 1,320 outputs
Outputs of similar age
#13,686
of 362,778 outputs
Outputs of similar age from Bulletin of Mathematical Biology
#1
of 19 outputs
Altmetric has tracked 25,998,826 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,320 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 99% 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 362,778 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 96% of its contemporaries.
We're also able to compare this research output to 19 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 94% of its contemporaries.