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X Demographics
Mendeley readers
Attention Score in Context
| Title |
EpiFire: An open source C++ library and application for contact network epidemiology
|
|---|---|
| Published in |
BMC Bioinformatics, May 2012
|
| DOI | 10.1186/1471-2105-13-76 |
| Pubmed ID | |
| Authors |
Thomas Hladish, Eugene Melamud, Luis Alberto Barrera, Alison Galvani, Lauren Ancel Meyers |
| Abstract |
Contact network models have become increasingly common in epidemiology, but we lack a flexible programming framework for the generation and analysis of epidemiological contact networks and for the simulation of disease transmission through such networks. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 2 | 3% |
| United States | 1 | 2% |
| China | 1 | 2% |
| Unknown | 56 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 25% |
| Student > Ph. D. Student | 12 | 20% |
| Student > Master | 6 | 10% |
| Student > Doctoral Student | 5 | 8% |
| Professor | 4 | 7% |
| Other | 12 | 20% |
| Unknown | 6 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 12 | 20% |
| Mathematics | 11 | 18% |
| Agricultural and Biological Sciences | 9 | 15% |
| Medicine and Dentistry | 5 | 8% |
| Engineering | 4 | 7% |
| Other | 9 | 15% |
| Unknown | 10 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 May 2012.
All research outputs
#13,663,849
of 22,665,794 outputs
Outputs from BMC Bioinformatics
#4,434
of 7,247 outputs
Outputs of similar age
#93,577
of 163,498 outputs
Outputs of similar age from BMC Bioinformatics
#64
of 103 outputs
Altmetric has tracked 22,665,794 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,247 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 38th percentile – i.e., 38% 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 163,498 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 103 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.