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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Innovative use of data sources: a cross-sectional study of data linkage and artificial intelligence practices across European countries
|
|---|---|
| Published in |
Archives of Public Health, June 2020
|
| DOI | 10.1186/s13690-020-00436-9 |
| Pubmed ID | |
| Authors |
Romana Haneef, Marie Delnord, Michel Vernay, Emmanuelle Bauchet, Rita Gaidelyte, Herman Van Oyen, Zeynep Or, Beatriz Pérez-Gómez, Luigi Palmieri, Peter Achterberg, Mariken Tijhuis, Metka Zaletel, Stefan Mathis-Edenhofer, Ondřej Májek, Håkon Haaheim, Hanna Tolonen, Anne Gallay |
X Demographics
The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malta | 1 | 8% |
| France | 1 | 8% |
| Portugal | 1 | 8% |
| Finland | 1 | 8% |
| United States | 1 | 8% |
| United Kingdom | 1 | 8% |
| India | 1 | 8% |
| Unknown | 6 | 46% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 85% |
| Scientists | 1 | 8% |
| Practitioners (doctors, other healthcare professionals) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 67 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 10% |
| Student > Master | 6 | 9% |
| Researcher | 5 | 7% |
| Professor | 4 | 6% |
| Student > Doctoral Student | 3 | 4% |
| Other | 11 | 16% |
| Unknown | 31 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 15% |
| Social Sciences | 6 | 9% |
| Nursing and Health Professions | 3 | 4% |
| Business, Management and Accounting | 3 | 4% |
| Computer Science | 2 | 3% |
| Other | 10 | 15% |
| Unknown | 33 | 49% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 06 July 2020.
All research outputs
#4,434,534
of 26,017,215 outputs
Outputs from Archives of Public Health
#275
of 1,168 outputs
Outputs of similar age
#107,335
of 436,782 outputs
Outputs of similar age from Archives of Public Health
#13
of 36 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,168 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has done well, scoring higher than 76% 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 436,782 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 36 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 63% of its contemporaries.