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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Recommendations to overcome barriers to the use of artificial intelligence-driven evidence in health technology assessment
|
|---|---|
| Published in |
Frontiers in Public Health, April 2023
|
| DOI | 10.3389/fpubh.2023.1088121 |
| Pubmed ID | |
| Authors |
Antal Zemplényi, Konstantin Tachkov, Laszlo Balkanyi, Bertalan Németh, Zsuzsanna Ida Petykó, Guenka Petrova, Marcin Czech, Dalia Dawoud, Wim Goettsch, Inaki Gutierrez Ibarluzea, Rok Hren, Saskia Knies, László Lorenzovici, Zorana Maravic, Oresta Piniazhko, Alexandra Savova, Manoela Manova, Tomas Tesar, Spela Zerovnik, Zoltán Kaló |
X Demographics
The data shown below were collected from the profiles of 7 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 Kingdom | 2 | 29% |
| Australia | 1 | 14% |
| Switzerland | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 86% |
| Practitioners (doctors, other healthcare professionals) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 10% |
| Student > Ph. D. Student | 3 | 10% |
| Other | 2 | 7% |
| Unspecified | 1 | 3% |
| Student > Doctoral Student | 1 | 3% |
| Other | 2 | 7% |
| Unknown | 18 | 60% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 20% |
| Unspecified | 2 | 7% |
| Economics, Econometrics and Finance | 1 | 3% |
| Arts and Humanities | 1 | 3% |
| Social Sciences | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 18 | 60% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 22 November 2023.
All research outputs
#7,133,964
of 23,760,369 outputs
Outputs from Frontiers in Public Health
#2,446
of 11,463 outputs
Outputs of similar age
#79,225
of 278,446 outputs
Outputs of similar age from Frontiers in Public Health
#61
of 627 outputs
Altmetric has tracked 23,760,369 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 11,463 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one has done well, scoring higher than 78% 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 278,446 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 627 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.