You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Computational Resources in Infectious Disease: Limitations and Challenges
|
|---|---|
| Published in |
PLoS Computational Biology, October 2009
|
| DOI | 10.1371/journal.pcbi.1000481 |
| Pubmed ID | |
| Authors |
Eva C. Berglund, Björn Nystedt, Siv G. E. Andersson |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| Cameroon | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 4% |
| Mexico | 2 | 3% |
| Hong Kong | 1 | 1% |
| Ghana | 1 | 1% |
| Sweden | 1 | 1% |
| India | 1 | 1% |
| United Kingdom | 1 | 1% |
| Portugal | 1 | 1% |
| Brazil | 1 | 1% |
| Other | 3 | 4% |
| Unknown | 61 | 80% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 25 | 33% |
| Student > Ph. D. Student | 15 | 20% |
| Professor > Associate Professor | 8 | 11% |
| Student > Master | 5 | 7% |
| Student > Postgraduate | 3 | 4% |
| Other | 9 | 12% |
| Unknown | 11 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 41 | 54% |
| Biochemistry, Genetics and Molecular Biology | 7 | 9% |
| Medicine and Dentistry | 4 | 5% |
| Computer Science | 3 | 4% |
| Chemical Engineering | 1 | 1% |
| Other | 4 | 5% |
| Unknown | 16 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 2022.
All research outputs
#4,260,112
of 25,374,917 outputs
Outputs from PLoS Computational Biology
#3,508
of 8,960 outputs
Outputs of similar age
#16,888
of 108,105 outputs
Outputs of similar age from PLoS Computational Biology
#16
of 50 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,960 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has gotten more attention than average, scoring higher than 60% 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 108,105 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 84% of its contemporaries.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.