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X Demographics
Mendeley readers
Attention Score in Context
| Title |
FAIRness through automation: development of an automated medical data integration infrastructure for FAIR health data in a maximum care university hospital
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, May 2023
|
| DOI | 10.1186/s12911-023-02195-3 |
| Pubmed ID | |
| Authors |
Marcel Parciak, Markus Suhr, Christian Schmidt, Caroline Bönisch, Benjamin Löhnhardt, Dorothea Kesztyüs, Tibor Kesztyüs |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 11% |
| Student > Master | 2 | 11% |
| Professor | 2 | 11% |
| Unspecified | 1 | 5% |
| Librarian | 1 | 5% |
| Other | 2 | 11% |
| Unknown | 9 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 16% |
| Engineering | 2 | 11% |
| Nursing and Health Professions | 1 | 5% |
| Unspecified | 1 | 5% |
| Social Sciences | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 10 | 53% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 21 July 2023.
All research outputs
#21,604,768
of 24,115,737 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,868
of 2,058 outputs
Outputs of similar age
#307,298
of 366,514 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#21
of 28 outputs
Altmetric has tracked 24,115,737 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,058 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 366,514 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.