| Title |
Malaria parasite clearance rate regression: an R software package for a Bayesian hierarchical regression model
|
|---|---|
| Published in |
Malaria Journal, January 2019
|
| DOI | 10.1186/s12936-018-2631-8 |
| Pubmed ID | |
| Authors |
Saeed Sharifi-Malvajerdi, Feiyu Zhu, Colin B. Fogarty, Michael P. Fay, Rick M. Fairhurst, Jennifer A. Flegg, Kasia Stepniewska, Dylan S. Small |
X Demographics
The data shown below were collected from the profiles of 17 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Kenya | 2 | 12% |
| United Kingdom | 2 | 12% |
| Nigeria | 1 | 6% |
| Chile | 1 | 6% |
| France | 1 | 6% |
| United States | 1 | 6% |
| Unknown | 9 | 53% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 47% |
| Scientists | 5 | 29% |
| Practitioners (doctors, other healthcare professionals) | 2 | 12% |
| Science communicators (journalists, bloggers, editors) | 2 | 12% |
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 % |
|---|---|---|
| Researcher | 5 | 20% |
| Student > Ph. D. Student | 4 | 16% |
| Student > Master | 4 | 16% |
| Professor | 3 | 12% |
| Student > Bachelor | 2 | 8% |
| Other | 1 | 4% |
| Unknown | 6 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 16% |
| Mathematics | 3 | 12% |
| Veterinary Science and Veterinary Medicine | 2 | 8% |
| Business, Management and Accounting | 1 | 4% |
| Nursing and Health Professions | 1 | 4% |
| Other | 5 | 20% |
| Unknown | 9 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 19 May 2019.
All research outputs
#3,250,447
of 25,013,458 outputs
Outputs from Malaria Journal
#723
of 5,845 outputs
Outputs of similar age
#71,035
of 446,989 outputs
Outputs of similar age from Malaria Journal
#7
of 86 outputs
Altmetric has tracked 25,013,458 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,845 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has done well, scoring higher than 87% 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 446,989 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 86 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.