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Twitter Demographics
Mendeley readers
Attention Score in Context
| Title |
Detection of 2019 novel coronavirus (2019-nCoV) by real-time RT-PCR
|
|---|---|
| Published in |
Eurosurveillance, January 2020
|
| DOI | 10.2807/1560-7917.es.2020.25.3.2000045 |
| Pubmed ID | |
| Authors |
Victor M Corman, Olfert Landt, Marco Kaiser, Richard Molenkamp, Adam Meijer, Daniel KW Chu, Tobias Bleicker, Sebastian Brünink, Julia Schneider, Marie Luisa Schmidt, Daphne GJC Mulders, Bart L Haagmans, Bas van der Veer, Sharon van den Brink, Lisa Wijsman, Gabriel Goderski, Jean-Louis Romette, Joanna Ellis, Maria Zambon, Malik Peiris, Herman Goossens, Chantal Reusken, Marion PG Koopmans, Christian Drosten |
Twitter Demographics
The data shown below were collected from the profiles of 8,084 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 723 | 9% |
| Netherlands | 572 | 7% |
| United States | 253 | 3% |
| United Kingdom | 244 | 3% |
| Japan | 117 | 1% |
| Turkey | 110 | 1% |
| Spain | 80 | <1% |
| Canada | 76 | <1% |
| Italy | 69 | <1% |
| Other | 629 | 8% |
| Unknown | 5211 | 64% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7593 | 94% |
| Scientists | 259 | 3% |
| Practitioners (doctors, other healthcare professionals) | 114 | 1% |
| Science communicators (journalists, bloggers, editors) | 83 | 1% |
| Unknown | 35 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 5,841 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5841 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 770 | 13% |
| Student > Bachelor | 676 | 12% |
| Student > Master | 630 | 11% |
| Student > Ph. D. Student | 557 | 10% |
| Other | 308 | 5% |
| Other | 1075 | 18% |
| Unknown | 1825 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 887 | 15% |
| Medicine and Dentistry | 810 | 14% |
| Agricultural and Biological Sciences | 383 | 7% |
| Immunology and Microbiology | 327 | 6% |
| Engineering | 209 | 4% |
| Other | 1075 | 18% |
| Unknown | 2150 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6422. 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 25 September 2023.
All research outputs
#488
of 24,496,759 outputs
Outputs from Eurosurveillance
#2
of 2,995 outputs
Outputs of similar age
#16
of 463,337 outputs
Outputs of similar age from Eurosurveillance
#2
of 53 outputs
Altmetric has tracked 24,496,759 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,995 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 46.0. This one has done particularly well, scoring higher than 99% 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 463,337 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 99% of its contemporaries.
We're also able to compare this research output to 53 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 98% of its contemporaries.