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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Digital twins to personalize medicine
|
|---|---|
| Published in |
Genome Medicine, December 2019
|
| DOI | 10.1186/s13073-019-0701-3 |
| Pubmed ID | |
| Authors |
Bergthor Björnsson, Carl Borrebaeck, Nils Elander, Thomas Gasslander, Danuta R. Gawel, Mika Gustafsson, Rebecka Jörnsten, Eun Jung Lee, Xinxiu Li, Sandra Lilja, David Martínez-Enguita, Andreas Matussek, Per Sandström, Samuel Schäfer, Margaretha Stenmarker, X. F. Sun, Oleg Sysoev, Huan Zhang, Mikael Benson |
X Demographics
The data shown below were collected from the profiles of 31 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 8 | 26% |
| United States | 6 | 19% |
| Portugal | 1 | 3% |
| Mexico | 1 | 3% |
| India | 1 | 3% |
| Finland | 1 | 3% |
| United Kingdom | 1 | 3% |
| Sweden | 1 | 3% |
| Germany | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 10 | 32% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 27 | 87% |
| Scientists | 4 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 321 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 321 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 49 | 15% |
| Researcher | 46 | 14% |
| Student > Master | 29 | 9% |
| Student > Bachelor | 24 | 7% |
| Other | 12 | 4% |
| Other | 44 | 14% |
| Unknown | 117 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 44 | 14% |
| Computer Science | 30 | 9% |
| Biochemistry, Genetics and Molecular Biology | 25 | 8% |
| Medicine and Dentistry | 24 | 7% |
| Agricultural and Biological Sciences | 10 | 3% |
| Other | 58 | 18% |
| Unknown | 130 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 60. 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 29 April 2024.
All research outputs
#725,637
of 25,813,008 outputs
Outputs from Genome Medicine
#136
of 1,617 outputs
Outputs of similar age
#17,684
of 480,037 outputs
Outputs of similar age from Genome Medicine
#5
of 32 outputs
Altmetric has tracked 25,813,008 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,617 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.5. This one has done particularly well, scoring higher than 91% 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 480,037 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 96% of its contemporaries.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.