| Title |
A spatially heterogeneous network-based metapopulation software model applied to the simulation of a pulmonary tuberculosis infection
|
|---|---|
| Published in |
Applied Network Science, August 2018
|
| DOI | 10.1007/s41109-018-0091-2 |
| Pubmed ID | |
| Authors |
Michael J. Pitcher, Ruth Bowness, Simon Dobson, Stephen H. Gillespie |
X Demographics
The data shown below were collected from the profiles of 11 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 Kingdom | 4 | 36% |
| Uganda | 1 | 9% |
| Unknown | 6 | 55% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 55% |
| Members of the public | 3 | 27% |
| Practitioners (doctors, other healthcare professionals) | 1 | 9% |
| Science communicators (journalists, bloggers, editors) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Postgraduate | 7 | 28% |
| Researcher | 5 | 20% |
| Student > Master | 2 | 8% |
| Other | 1 | 4% |
| Student > Doctoral Student | 1 | 4% |
| Other | 4 | 16% |
| Unknown | 5 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Mathematics | 7 | 28% |
| Medicine and Dentistry | 3 | 12% |
| Immunology and Microbiology | 2 | 8% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Nursing and Health Professions | 1 | 4% |
| Other | 6 | 24% |
| Unknown | 5 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 21. 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 04 July 2019.
All research outputs
#1,603,932
of 23,450,162 outputs
Outputs from Applied Network Science
#39
of 513 outputs
Outputs of similar age
#35,310
of 335,104 outputs
Outputs of similar age from Applied Network Science
#3
of 29 outputs
Altmetric has tracked 23,450,162 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 513 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one has done particularly well, scoring higher than 92% 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 335,104 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 89% of its contemporaries.
We're also able to compare this research output to 29 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 93% of its contemporaries.