| Title |
From Big Data to Precision Medicine
|
|---|---|
| Published in |
Frontiers in Medicine, March 2019
|
| DOI | 10.3389/fmed.2019.00034 |
| Pubmed ID | |
| Authors |
Tim Hulsen, Saumya S. Jamuar, Alan R. Moody, Jason H. Karnes, Orsolya Varga, Stine Hedensted, Roberto Spreafico, David A. Hafler, Eoin F. McKinney |
X Demographics
The data shown below were collected from the profiles of 106 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 | 12 | 11% |
| Japan | 7 | 7% |
| United Kingdom | 4 | 4% |
| Canada | 4 | 4% |
| Spain | 3 | 3% |
| Australia | 3 | 3% |
| France | 3 | 3% |
| Germany | 3 | 3% |
| India | 3 | 3% |
| Other | 14 | 13% |
| Unknown | 50 | 47% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 78 | 74% |
| Scientists | 20 | 19% |
| Practitioners (doctors, other healthcare professionals) | 4 | 4% |
| Science communicators (journalists, bloggers, editors) | 4 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 684 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 684 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 79 | 12% |
| Student > Bachelor | 75 | 11% |
| Student > Master | 68 | 10% |
| Researcher | 65 | 10% |
| Other | 25 | 4% |
| Other | 105 | 15% |
| Unknown | 267 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 100 | 15% |
| Biochemistry, Genetics and Molecular Biology | 64 | 9% |
| Computer Science | 54 | 8% |
| Engineering | 30 | 4% |
| Agricultural and Biological Sciences | 24 | 4% |
| Other | 109 | 16% |
| Unknown | 303 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 90. 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 07 May 2024.
All research outputs
#487,288
of 25,905,864 outputs
Outputs from Frontiers in Medicine
#164
of 7,362 outputs
Outputs of similar age
#11,097
of 370,304 outputs
Outputs of similar age from Frontiers in Medicine
#3
of 61 outputs
Altmetric has tracked 25,905,864 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,362 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.7. This one has done particularly well, scoring higher than 97% 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 370,304 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 97% of its contemporaries.
We're also able to compare this research output to 61 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 95% of its contemporaries.