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Twitter Demographics
Mendeley readers
Attention Score in Context
| Title |
Whole-genome sequence-informed MALDI-TOF MS diagnostics reveal importance of Klebsiella oxytoca group in invasive infections: a retrospective clinical study
|
|---|---|
| Published in |
Genome Medicine, September 2021
|
| DOI | 10.1186/s13073-021-00960-5 |
| Pubmed ID | |
| Authors |
Aline Cuénod, Daniel Wüthrich, Helena M. B. Seth-Smith, Chantal Ott, Christian Gehringer, Frédéric Foucault, Roxanne Mouchet, Ali Kassim, Gunturu Revathi, Deborah R. Vogt, Stefanie von Felten, Stefano Bassetti, Sarah Tschudin-Sutter, Timm Hettich, Götz Schlotterbeck, Christina Homberger, Carlo Casanova, Jacob Moran-Gilad, Orli Sagi, Belén Rodríguez-Sánchez, Franco Müller, Martina Aerni, Valeria Gaia, Helke van Dessel, Greetje A. Kampinga, Claudia Müller, Claudia Daubenberger, Valentin Pflüger, Adrian Egli |
Twitter Demographics
The data shown below were collected from the profiles of 11 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 2 | 18% |
| United Kingdom | 2 | 18% |
| Netherlands | 1 | 9% |
| Portugal | 1 | 9% |
| Korea, Republic of | 1 | 9% |
| Unknown | 4 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 64% |
| Scientists | 4 | 36% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 15% |
| Student > Master | 5 | 13% |
| Researcher | 5 | 13% |
| Student > Bachelor | 3 | 8% |
| Student > Doctoral Student | 2 | 5% |
| Other | 4 | 10% |
| Unknown | 15 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 18% |
| Immunology and Microbiology | 5 | 13% |
| Agricultural and Biological Sciences | 3 | 8% |
| Medicine and Dentistry | 2 | 5% |
| Unspecified | 1 | 3% |
| Other | 7 | 18% |
| Unknown | 15 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 18 October 2021.
All research outputs
#4,219,690
of 23,323,574 outputs
Outputs from Genome Medicine
#843
of 1,457 outputs
Outputs of similar age
#92,954
of 430,014 outputs
Outputs of similar age from Genome Medicine
#24
of 48 outputs
Altmetric has tracked 23,323,574 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,457 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.9. This one is in the 42nd percentile – i.e., 42% of its peers scored the same or lower than it.
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 430,014 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 78% of its contemporaries.
We're also able to compare this research output to 48 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 52% of its contemporaries.