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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Geospatial blockchain: promises, challenges, and scenarios in health and healthcare
|
|---|---|
| Published in |
International Journal of Health Geographics, July 2018
|
| DOI | 10.1186/s12942-018-0144-x |
| Pubmed ID | |
| Authors |
Maged N. Kamel Boulos, James T. Wilson, Kevin A. Clauson |
| Abstract |
A PubMed query run in June 2018 using the keyword 'blockchain' retrieved 40 indexed papers, a reflection of the growing interest in blockchain among the medical and healthcare research and practice communities. Blockchain's foundations of decentralisation, cryptographic security and immutability make it a strong contender in reshaping the healthcare landscape worldwide. Blockchain solutions are currently being explored for: (1) securing patient and provider identities; (2) managing pharmaceutical and medical device supply chains; (3) clinical research and data monetisation; (4) medical fraud detection; (5) public health surveillance; (6) enabling truly public and open geo-tagged data; (7) powering many Internet of Things-connected autonomous devices, wearables, drones and vehicles, via the distributed peer-to-peer apps they run, to deliver the full vision of smart healthy cities and regions; and (8) blockchain-enabled augmented reality in crisis mapping and recovery scenarios, including mechanisms for validating, crediting and rewarding crowdsourced geo-tagged data, among other emerging use cases. Geospatially-enabled blockchain solutions exist today that use a crypto-spatial coordinate system to add an immutable spatial context that regular blockchains lack. These geospatial blockchains do not just record an entry's specific time, but also require and validate its associated proof of location, allowing accurate spatiotemporal mapping of physical world events. Blockchain and distributed ledger technology face similar challenges as any other technology threatening to disintermediate legacy processes and commercial interests, namely the challenges of blockchain interoperability, security and privacy, as well as the need to find suitable and sustainable business models of implementation. Nevertheless, we expect blockchain technologies to get increasingly powerful and robust, as they become coupled with artificial intelligence (AI) in various real-word healthcare solutions involving AI-mediated data exchange on blockchains. |
X Demographics
The data shown below were collected from the profiles of 27 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 | 9 | 33% |
| Canada | 4 | 15% |
| Nigeria | 1 | 4% |
| South Africa | 1 | 4% |
| France | 1 | 4% |
| Denmark | 1 | 4% |
| Unknown | 10 | 37% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 25 | 93% |
| Scientists | 2 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 647 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 647 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 105 | 16% |
| Student > Ph. D. Student | 81 | 13% |
| Student > Bachelor | 52 | 8% |
| Researcher | 43 | 7% |
| Student > Doctoral Student | 28 | 4% |
| Other | 119 | 18% |
| Unknown | 219 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 128 | 20% |
| Business, Management and Accounting | 70 | 11% |
| Engineering | 56 | 9% |
| Medicine and Dentistry | 26 | 4% |
| Nursing and Health Professions | 17 | 3% |
| Other | 102 | 16% |
| Unknown | 248 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 27. 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 18 June 2022.
All research outputs
#1,383,551
of 24,727,020 outputs
Outputs from International Journal of Health Geographics
#44
of 646 outputs
Outputs of similar age
#29,503
of 332,726 outputs
Outputs of similar age from International Journal of Health Geographics
#3
of 20 outputs
Altmetric has tracked 24,727,020 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 646 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.7. This one has done particularly well, scoring higher than 93% 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 332,726 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 91% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.