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X Demographics
Mendeley readers
Attention Score in Context
| Title |
From first to second wave: follow-up of the prospective COVID-19 cohort (KoCo19) in Munich (Germany)
|
|---|---|
| Published in |
BMC Infectious Diseases, September 2021
|
| DOI | 10.1186/s12879-021-06589-4 |
| Pubmed ID | |
| Authors |
Katja Radon, Abhishek Bakuli, Peter Pütz, Ronan Le Gleut, Jessica Michelle Guggenbuehl Noller, Laura Olbrich, Elmar Saathoff, Mercè Garí, Yannik Schälte, Turid Frahnow, Roman Wölfel, Michael Pritsch, Camilla Rothe, Michel Pletschette, Raquel Rubio-Acero, Jessica Beyerl, Dafni Metaxa, Felix Forster, Verena Thiel, Noemi Castelletti, Friedrich Rieß, Maximilian N. Diefenbach, Günter Fröschl, Jan Bruger, Simon Winter, Jonathan Frese, Kerstin Puchinger, Isabel Brand, Inge Kroidl, Andreas Wieser, Michael Hoelscher, Jan Hasenauer, Christiane Fuchs |
X Demographics
The data shown below were collected from the profiles of 10 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 | 5 | 50% |
| Serbia | 1 | 10% |
| United States | 1 | 10% |
| Unknown | 3 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 90% |
| Science communicators (journalists, bloggers, editors) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 50 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 18% |
| Researcher | 5 | 10% |
| Other | 3 | 6% |
| Student > Postgraduate | 2 | 4% |
| Student > Bachelor | 2 | 4% |
| Other | 6 | 12% |
| Unknown | 23 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 10% |
| Nursing and Health Professions | 3 | 6% |
| Agricultural and Biological Sciences | 2 | 4% |
| Immunology and Microbiology | 2 | 4% |
| Biochemistry, Genetics and Molecular Biology | 2 | 4% |
| Other | 12 | 24% |
| Unknown | 24 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 17 June 2022.
All research outputs
#5,217,180
of 25,104,329 outputs
Outputs from BMC Infectious Diseases
#1,790
of 8,454 outputs
Outputs of similar age
#108,730
of 423,491 outputs
Outputs of similar age from BMC Infectious Diseases
#70
of 264 outputs
Altmetric has tracked 25,104,329 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,454 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. 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 423,491 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 74% of its contemporaries.
We're also able to compare this research output to 264 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 73% of its contemporaries.