You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Reduced Rate of Inpatient Hospital Admissions in 18 German University Hospitals During the COVID-19 Lockdown
|
|---|---|
| Published in |
Frontiers in Public Health, January 2021
|
| DOI | 10.3389/fpubh.2020.594117 |
| Pubmed ID | |
| Authors |
Lorenz A. Kapsner, Marvin O. Kampf, Susanne A. Seuchter, Julian Gruendner, Christian Gulden, Sebastian Mate, Jonathan M. Mang, Christina Schüttler, Noemi Deppenwiese, Linda Krause, Daniela Zöller, Julien Balig, Timo Fuchs, Patrick Fischer, Christian Haverkamp, Martin Holderried, Gerhard Mayer, Holger Stenzhorn, Ana Stolnicu, Michael Storck, Holger Storf, Jochen Zohner, Oliver Kohlbacher, Adam Strzelczyk, Jürgen Schüttler, Till Acker, Martin Boeker, Udo X. Kaisers, Hans A. Kestler, Hans-Ulrich Prokosch |
X Demographics
The data shown below were collected from the profiles of 29 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 17 | 59% |
| Switzerland | 1 | 3% |
| United States | 1 | 3% |
| Unknown | 10 | 34% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 26 | 90% |
| Practitioners (doctors, other healthcare professionals) | 2 | 7% |
| Scientists | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 111 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 11% |
| Student > Master | 11 | 10% |
| Student > Doctoral Student | 11 | 10% |
| Student > Bachelor | 7 | 6% |
| Student > Ph. D. Student | 7 | 6% |
| Other | 20 | 18% |
| Unknown | 43 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 35 | 32% |
| Computer Science | 7 | 6% |
| Psychology | 5 | 5% |
| Nursing and Health Professions | 4 | 4% |
| Agricultural and Biological Sciences | 3 | 3% |
| Other | 14 | 13% |
| Unknown | 43 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 50. 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 March 2021.
All research outputs
#825,767
of 25,077,376 outputs
Outputs from Frontiers in Public Health
#402
of 13,517 outputs
Outputs of similar age
#23,216
of 519,901 outputs
Outputs of similar age from Frontiers in Public Health
#20
of 396 outputs
Altmetric has tracked 25,077,376 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,517 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has done particularly well, scoring higher than 97% 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 519,901 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 95% of its contemporaries.
We're also able to compare this research output to 396 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 95% of its contemporaries.