| Title |
Why digital medicine depends on interoperability
|
|---|---|
| Published in |
npj Digital Medicine, August 2019
|
| DOI | 10.1038/s41746-019-0158-1 |
| Pubmed ID | |
| Authors |
Moritz Lehne, Julian Sass, Andrea Essenwanger, Josef Schepers, Sylvia Thun |
X Demographics
The data shown below were collected from the profiles of 155 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 | 30 | 19% |
| Germany | 22 | 14% |
| Chile | 13 | 8% |
| Spain | 7 | 5% |
| United Kingdom | 5 | 3% |
| Netherlands | 4 | 3% |
| Switzerland | 3 | 2% |
| France | 3 | 2% |
| Greece | 3 | 2% |
| Other | 20 | 13% |
| Unknown | 45 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 121 | 78% |
| Scientists | 14 | 9% |
| Practitioners (doctors, other healthcare professionals) | 12 | 8% |
| Science communicators (journalists, bloggers, editors) | 8 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 431 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 431 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 43 | 10% |
| Student > Ph. D. Student | 42 | 10% |
| Researcher | 34 | 8% |
| Student > Bachelor | 34 | 8% |
| Student > Doctoral Student | 22 | 5% |
| Other | 58 | 13% |
| Unknown | 198 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 51 | 12% |
| Medicine and Dentistry | 47 | 11% |
| Nursing and Health Professions | 25 | 6% |
| Business, Management and Accounting | 19 | 4% |
| Engineering | 16 | 4% |
| Other | 62 | 14% |
| Unknown | 211 | 49% |
Attention Score in Context
This research output has an Altmetric Attention Score of 142. 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 02 August 2022.
All research outputs
#295,091
of 25,837,817 outputs
Outputs from npj Digital Medicine
#99
of 1,022 outputs
Outputs of similar age
#5,798
of 354,994 outputs
Outputs of similar age from npj Digital Medicine
#6
of 33 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,022 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 54.1. This one has done particularly well, scoring higher than 90% 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 354,994 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 98% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.