| Title |
Evaluating single-subject study methods for personal transcriptomic interpretations to advance precision medicine
|
|---|---|
| Published in |
BMC Medical Genomics, July 2019
|
| DOI | 10.1186/s12920-019-0513-8 |
| Pubmed ID | |
| Authors |
Samir Rachid Zaim, Colleen Kenost, Joanne Berghout, Francesca Vitali, Helen Hao Zhang, Yves A. Lussier |
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 % |
|---|---|---|
| United States | 3 | 30% |
| United Kingdom | 2 | 20% |
| India | 1 | 10% |
| Unknown | 4 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 80% |
| Scientists | 2 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 37 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 30% |
| Student > Bachelor | 4 | 11% |
| Student > Ph. D. Student | 4 | 11% |
| Student > Master | 2 | 5% |
| Lecturer > Senior Lecturer | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 12 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 14% |
| Agricultural and Biological Sciences | 5 | 14% |
| Medicine and Dentistry | 4 | 11% |
| Engineering | 3 | 8% |
| Social Sciences | 2 | 5% |
| Other | 2 | 5% |
| Unknown | 16 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 27 September 2020.
All research outputs
#5,887,945
of 23,508,556 outputs
Outputs from BMC Medical Genomics
#266
of 1,263 outputs
Outputs of similar age
#102,474
of 347,687 outputs
Outputs of similar age from BMC Medical Genomics
#11
of 41 outputs
Altmetric has tracked 23,508,556 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 1,263 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 78% 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 347,687 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.