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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Integration of clinical parameters and CT-based radiomics improves machine learning assisted subtyping of primary hyperaldosteronism
|
|---|---|
| Published in |
Frontiers in endocrinology, August 2023
|
| DOI | 10.3389/fendo.2023.1244342 |
| Pubmed ID | |
| Authors |
Nabeel Mansour, Andreas Mittermeier, Roman Walter, Balthasar Schachtner, Jan Rudolph, Bernd Erber, Vanessa F. Schmidt, Daniel Heinrich, Denise Bruedgam, Lea Tschaidse, Hanna Nowotny, Martin Bidlingmaier, Sonja L. Kunz, Christian Adolf, Jens Ricke, Martin Reincke, Nicole Reisch, Moritz Wildgruber, Michael Ingrisch |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 1 | 20% |
| Student > Postgraduate | 1 | 20% |
| Student > Master | 1 | 20% |
| Unknown | 2 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 60% |
| Nursing and Health Professions | 1 | 20% |
| Unknown | 1 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 15 November 2023.
All research outputs
#15,629,325
of 26,180,352 outputs
Outputs from Frontiers in endocrinology
#3,442
of 13,379 outputs
Outputs of similar age
#157,531
of 362,964 outputs
Outputs of similar age from Frontiers in endocrinology
#110
of 742 outputs
Altmetric has tracked 26,180,352 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,379 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has gotten more attention than average, scoring higher than 73% 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 362,964 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 56% of its contemporaries.
We're also able to compare this research output to 742 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.