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X Demographics
Mendeley readers
Attention Score in Context
| Title |
From biobank and data silos into a data commons: convergence to support translational medicine
|
|---|---|
| Published in |
Journal of Translational Medicine, December 2021
|
| DOI | 10.1186/s12967-021-03147-z |
| Pubmed ID | |
| Authors |
Rebecca Asiimwe, Stephanie Lam, Samuel Leung, Shanzhao Wang, Rachel Wan, Anna Tinker, Jessica N. McAlpine, Michelle M. M. Woo, David G. Huntsman, Aline Talhouk |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Senegal | 1 | 13% |
| Canada | 1 | 13% |
| Brazil | 1 | 13% |
| Australia | 1 | 13% |
| United States | 1 | 13% |
| Unknown | 3 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 75% |
| Scientists | 2 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 6 | 19% |
| Researcher | 3 | 10% |
| Other | 2 | 6% |
| Student > Master | 2 | 6% |
| Student > Bachelor | 1 | 3% |
| Other | 6 | 19% |
| Unknown | 11 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 6 | 19% |
| Medicine and Dentistry | 4 | 13% |
| Social Sciences | 3 | 10% |
| Business, Management and Accounting | 2 | 6% |
| Nursing and Health Professions | 1 | 3% |
| Other | 3 | 10% |
| Unknown | 12 | 39% |
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 11 March 2022.
All research outputs
#5,789,810
of 23,317,888 outputs
Outputs from Journal of Translational Medicine
#897
of 4,117 outputs
Outputs of similar age
#125,678
of 508,970 outputs
Outputs of similar age from Journal of Translational Medicine
#20
of 85 outputs
Altmetric has tracked 23,317,888 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,117 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. 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 508,970 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 75% of its contemporaries.
We're also able to compare this research output to 85 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.