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.
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| Title |
Genome-wide polygenic score to predict chronic kidney disease across ancestries
|
|---|---|
| Published in |
Nature Medicine, June 2022
|
| DOI | 10.1038/s41591-022-01869-1 |
| Pubmed ID | |
| Authors |
Atlas Khan, Michael C. Turchin, Amit Patki, Vinodh Srinivasasainagendra, Ning Shang, Rajiv Nadukuru, Alana C. Jones, Edyta Malolepsza, Ozan Dikilitas, Iftikhar J. Kullo, Daniel J. Schaid, Elizabeth Karlson, Tian Ge, James B. Meigs, Jordan W. Smoller, Christoph Lange, David R. Crosslin, Gail P. Jarvik, Pavan K. Bhatraju, Jacklyn N. Hellwege, Paulette Chandler, Laura Rasmussen Torvik, Alex Fedotov, Cong Liu, Christopher Kachulis, Niall Lennon, Noura S. Abul-Husn, Judy H. Cho, Iuliana Ionita-Laza, Ali G. Gharavi, Wendy K. Chung, George Hripcsak, Chunhua Weng, Girish Nadkarni, Marguerite R. Irvin, Hemant K. Tiwari, Eimear E. Kenny, Nita A. Limdi, Krzysztof Kiryluk |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 14 | 15% |
| Germany | 2 | 2% |
| France | 2 | 2% |
| Paraguay | 1 | 1% |
| India | 1 | 1% |
| United Kingdom | 1 | 1% |
| Canada | 1 | 1% |
| Unknown | 74 | 77% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 56 | 58% |
| Scientists | 28 | 29% |
| Practitioners (doctors, other healthcare professionals) | 8 | 8% |
| Science communicators (journalists, bloggers, editors) | 4 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 65 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 18 | 28% |
| Student > Master | 5 | 8% |
| Student > Bachelor | 4 | 6% |
| Unspecified | 4 | 6% |
| Student > Ph. D. Student | 4 | 6% |
| Other | 11 | 17% |
| Unknown | 19 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 16 | 25% |
| Medicine and Dentistry | 11 | 17% |
| Unspecified | 4 | 6% |
| Agricultural and Biological Sciences | 4 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 3% |
| Other | 5 | 8% |
| Unknown | 23 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 244. 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 23 December 2023.
All research outputs
#162,591
of 26,492,979 outputs
Outputs from Nature Medicine
#734
of 9,709 outputs
Outputs of similar age
#4,774
of 436,974 outputs
Outputs of similar age from Nature Medicine
#22
of 133 outputs
Altmetric has tracked 26,492,979 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,709 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 107.4. This one has done particularly well, scoring higher than 92% 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 436,974 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 98% of its contemporaries.
We're also able to compare this research output to 133 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.