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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Assessing parameter identifiability in compartmental dynamic models using a computational approach: application to infectious disease transmission models
|
|---|---|
| Published in |
Theoretical Biology and Medical Modelling, January 2019
|
| DOI | 10.1186/s12976-018-0097-6 |
| Pubmed ID | |
| Authors |
Kimberlyn Roosa, Gerardo Chowell |
X Demographics
The data shown below were collected from the profiles of 10 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 | 3 | 30% |
| France | 1 | 10% |
| Brazil | 1 | 10% |
| Switzerland | 1 | 10% |
| Unknown | 4 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 50% |
| Scientists | 4 | 40% |
| Practitioners (doctors, other healthcare professionals) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 96 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 16% |
| Student > Master | 11 | 11% |
| Researcher | 8 | 8% |
| Student > Doctoral Student | 8 | 8% |
| Student > Bachelor | 8 | 8% |
| Other | 20 | 21% |
| Unknown | 26 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Mathematics | 16 | 17% |
| Medicine and Dentistry | 7 | 7% |
| Computer Science | 7 | 7% |
| Agricultural and Biological Sciences | 7 | 7% |
| Engineering | 6 | 6% |
| Other | 18 | 19% |
| Unknown | 35 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 February 2019.
All research outputs
#6,171,188
of 23,124,001 outputs
Outputs from Theoretical Biology and Medical Modelling
#78
of 287 outputs
Outputs of similar age
#128,022
of 438,310 outputs
Outputs of similar age from Theoretical Biology and Medical Modelling
#1
of 5 outputs
Altmetric has tracked 23,124,001 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 287 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one has gotten more attention than average, scoring higher than 72% 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 438,310 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 70% 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