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Mendeley readers
Attention Score in Context
| Title |
A mathematical model of the initial interaction between Mycobacterium tuberculosis and macrophages
|
|---|---|
| Published in |
Journal of Theoretical Biology, October 2013
|
| DOI | 10.1016/j.jtbi.2013.09.029 |
| Pubmed ID | |
| Authors |
Elsje Pienaar, Maria Lerm |
| Abstract |
There is a large body of literature describing molecular level interactions between Mycobacterium tuberculosis (Mtb) and macrophages. Macrophages initiate a range of anti-bacterial mechanisms in response to infection, and Mtb is capable of surviving and circumventing many of these responses. We apply a computational approach to ask: what are the effects on the cellular level of these opposing interactions? The model considers the interplay between bacterial killing and the pathogen's interference with macrophage function. The results reveal an oscillating balance between host and pathogen, but the balance is transient and varies in length, indicating that stochasticity in the bacterial population or host response could contribute to the diverse incubation periods observed in exposed individuals. The model captures host and strain variation and gives new insight into host-pathogen compatibility and co-evolution. |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 4% |
| Malaysia | 1 | 2% |
| Unknown | 51 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 28% |
| Researcher | 10 | 19% |
| Student > Master | 10 | 19% |
| Student > Doctoral Student | 4 | 7% |
| Professor > Associate Professor | 3 | 6% |
| Other | 6 | 11% |
| Unknown | 6 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 13 | 24% |
| Mathematics | 8 | 15% |
| Immunology and Microbiology | 5 | 9% |
| Engineering | 5 | 9% |
| Medicine and Dentistry | 4 | 7% |
| Other | 12 | 22% |
| Unknown | 7 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 01 December 2014.
All research outputs
#17,286,379
of 25,374,917 outputs
Outputs from Journal of Theoretical Biology
#2,604
of 4,010 outputs
Outputs of similar age
#139,483
of 222,254 outputs
Outputs of similar age from Journal of Theoretical Biology
#17
of 34 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,010 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one is in the 25th percentile – i.e., 25% of its peers scored the same or lower than it.
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 222,254 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.