| Title |
Blockchain vehicles for efficient Medical Record management
|
|---|---|
| Published in |
npj Digital Medicine, January 2020
|
| DOI | 10.1038/s41746-019-0211-0 |
| Pubmed ID | |
| Authors |
Anuraag A. Vazirani, Odhran O’Donoghue, David Brindley, Edward Meinert |
X Demographics
The data shown below were collected from the profiles of 35 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 | 5 | 14% |
| United Kingdom | 2 | 6% |
| Canada | 2 | 6% |
| Korea, Democratic People's Republic of | 1 | 3% |
| Turkey | 1 | 3% |
| Australia | 1 | 3% |
| France | 1 | 3% |
| Netherlands | 1 | 3% |
| French Polynesia | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 18 | 51% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 27 | 77% |
| Practitioners (doctors, other healthcare professionals) | 5 | 14% |
| Scientists | 2 | 6% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 199 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 199 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 21 | 11% |
| Student > Ph. D. Student | 20 | 10% |
| Student > Bachelor | 19 | 10% |
| Researcher | 15 | 8% |
| Student > Postgraduate | 7 | 4% |
| Other | 33 | 17% |
| Unknown | 84 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 43 | 22% |
| Engineering | 13 | 7% |
| Medicine and Dentistry | 12 | 6% |
| Business, Management and Accounting | 6 | 3% |
| Social Sciences | 5 | 3% |
| Other | 28 | 14% |
| Unknown | 92 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 39. 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 09 November 2022.
All research outputs
#1,065,448
of 25,701,027 outputs
Outputs from npj Digital Medicine
#314
of 1,024 outputs
Outputs of similar age
#26,019
of 479,382 outputs
Outputs of similar age from npj Digital Medicine
#17
of 37 outputs
Altmetric has tracked 25,701,027 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,024 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.9. This one has gotten more attention than average, scoring higher than 69% 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 479,382 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 94% of its contemporaries.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.