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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Modeling Within-Host Effects of Drugs on Plasmodium falciparum Transmission and Prospects for Malaria Elimination
|
|---|---|
| Published in |
PLoS Computational Biology, January 2014
|
| DOI | 10.1371/journal.pcbi.1003434 |
| Pubmed ID | |
| Authors |
Geoffrey L. Johnston, Peter W. Gething, Simon I. Hay, David L. Smith, David A. Fidock |
X Demographics
The data shown below were collected from the profiles of 8 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 | 2 | 25% |
| Norway | 1 | 13% |
| Switzerland | 1 | 13% |
| Italy | 1 | 13% |
| Unknown | 3 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 63% |
| Scientists | 2 | 25% |
| Science communicators (journalists, bloggers, editors) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 143 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 1% |
| India | 1 | <1% |
| Australia | 1 | <1% |
| Spain | 1 | <1% |
| United Kingdom | 1 | <1% |
| Unknown | 137 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 40 | 28% |
| Student > Ph. D. Student | 19 | 13% |
| Student > Master | 19 | 13% |
| Student > Bachelor | 10 | 7% |
| Other | 8 | 6% |
| Other | 28 | 20% |
| Unknown | 19 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 40 | 28% |
| Medicine and Dentistry | 27 | 19% |
| Computer Science | 8 | 6% |
| Mathematics | 7 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 6 | 4% |
| Other | 28 | 20% |
| Unknown | 27 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 February 2014.
All research outputs
#2,550,561
of 26,017,215 outputs
Outputs from PLoS Computational Biology
#2,280
of 9,038 outputs
Outputs of similar age
#28,620
of 326,918 outputs
Outputs of similar age from PLoS Computational Biology
#26
of 118 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,038 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 74% 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 326,918 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 118 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.