| Title |
New insights into malaria susceptibility from the genomes of 17,000 individuals from Africa, Asia, and Oceania
|
|---|---|
| Published in |
bioRxiv, February 2019
|
| DOI | 10.1101/535898 |
| Authors |
Malaria Genomic Epidemiology Network, Gavin Band, Quang Si Le, Geraldine M. Clarke, Katja Kivinen, Christina Hubbart, Anna E. Jeffreys, Kate Rowlands, Ellen M. Leffler, Muminatou Jallow, David J. Conway, Fatoumatta Sisay-Joof, Giorgio Sirugo, Umberto d’Alessandro, Ousmane B. Toure, Mahamadou A. Thera, Salimata Konate, Sibiri Sissoko, Valentina D. Mangano, Edith C. Bougouma, Sodiomon B. Sirima, Lucas N. Amenga-Etego, Anita K. Ghansah, Abraham V. O. Hodgson, Michael D. Wilson, Anthony Enimil, Daniel Ansong, Jennifer Evans, Subulade A. Ademola, Tobias O. Apinjoh, Carolyne M. Ndila, Alphaxard Manjurano, Chris Drakeley, Hugh Reyburn, Nguyen Hoan Phu, Nguyen Thi Ngoc Quyen, Cao Quang Thai, Tran Tinh Hien, Yik Ying Teo, Laurens Manning, Moses Laman, Pascal Michon, Harin Karunajeewa, Peter Siba, Steve Allen, Angela Allen, Melanie Bahlo, Timothy M. E. Davis, Victoria Cornelius, Jennifer Shelton, Chris C.A. Spencer, George B.J. Busby, Angeliki Kerasidou, Eleanor Drury, Jim Stalker, Alexander Dilthey, Alexander J. Mentzer, Gil McVean, Kalifa A. Bojang, Ogobara Doumbo, David Modiano, Kwadwo A. Koram, Tsiri Agbenyega, Olukemi K. Amodu, Eric Achidi, Thomas N. Williams, Kevin Marsh, Eleanor M. Riley, Malcolm Molyneux, Terrie Taylor, Sarah J. Dunstan, Jeremy Farrar, Ivo Mueller, Kirk A. Rockett, Dominic P. Kwiatkowski |
X Demographics
The data shown below were collected from the profiles of 96 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 | 23 | 24% |
| United Kingdom | 21 | 22% |
| Germany | 3 | 3% |
| Mexico | 2 | 2% |
| Spain | 2 | 2% |
| Tanzania, United Republic of | 2 | 2% |
| New Zealand | 1 | 1% |
| Switzerland | 1 | 1% |
| Canada | 1 | 1% |
| Other | 10 | 10% |
| Unknown | 30 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 51 | 53% |
| Scientists | 41 | 43% |
| Practitioners (doctors, other healthcare professionals) | 3 | 3% |
| Science communicators (journalists, bloggers, editors) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 25% |
| Researcher | 7 | 19% |
| Other | 4 | 11% |
| Student > Bachelor | 3 | 8% |
| Student > Master | 3 | 8% |
| Other | 5 | 14% |
| Unknown | 5 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 10 | 28% |
| Agricultural and Biological Sciences | 9 | 25% |
| Immunology and Microbiology | 3 | 8% |
| Medicine and Dentistry | 3 | 8% |
| Computer Science | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 9 | 25% |