| Title |
How to Integrate Personalized Medicine into Prevention? Recommendations from the Personalized Prevention of Chronic Diseases (PRECeDI) Consortium
|
|---|---|
| Published in |
Public Health Genomics, December 2019
|
| DOI | 10.1159/000504652 |
| Pubmed ID | |
| Authors |
Stefania Boccia, Roberta Pastorino, Walter Ricciardi, Róza Ádány, Floris Barnhoorn, Paolo Boffetta, Martina C. Cornel, Corrado De Vito, Muir Gray, Anant Jani, Michael Lang, Jim Roldan, Annalisa Rosso, José Manuel Sánchez, Cornelia M. Van Dujin, Carla G. Van El, Paolo Villari, Ma’n H. Zawati |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 4 | 40% |
| United States | 3 | 30% |
| Unknown | 3 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 70% |
| Scientists | 2 | 20% |
| Practitioners (doctors, other healthcare professionals) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 67 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 16% |
| Student > Master | 8 | 12% |
| Student > Ph. D. Student | 7 | 10% |
| Student > Doctoral Student | 4 | 6% |
| Other | 4 | 6% |
| Other | 11 | 16% |
| Unknown | 22 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 16% |
| Biochemistry, Genetics and Molecular Biology | 5 | 7% |
| Psychology | 3 | 4% |
| Unspecified | 3 | 4% |
| Nursing and Health Professions | 2 | 3% |
| Other | 13 | 19% |
| Unknown | 30 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 28 January 2021.
All research outputs
#3,318,622
of 23,577,654 outputs
Outputs from Public Health Genomics
#49
of 386 outputs
Outputs of similar age
#79,627
of 461,994 outputs
Outputs of similar age from Public Health Genomics
#2
of 7 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 386 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. 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 461,994 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 82% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.