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 |
Diagnosing SARS-CoV-2 infection: the danger of over-reliance on positive test results
|
|---|---|
| Published in |
medRxiv, May 2020
|
| DOI | 10.1101/2020.04.26.20080911 |
| Authors |
Andrew N. Cohen, Bruce Kessel, Michael G. Milgroom |
X Demographics
The data shown below were collected from the profiles of 3,124 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 502 | 16% |
| United Kingdom | 291 | 9% |
| Japan | 213 | 7% |
| Canada | 57 | 2% |
| Australia | 18 | <1% |
| Ireland | 18 | <1% |
| Spain | 17 | <1% |
| Netherlands | 17 | <1% |
| Germany | 16 | <1% |
| Other | 157 | 5% |
| Unknown | 1818 | 58% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2963 | 95% |
| Scientists | 68 | 2% |
| Practitioners (doctors, other healthcare professionals) | 58 | 2% |
| Science communicators (journalists, bloggers, editors) | 31 | <1% |
| Unknown | 4 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 38 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 13% |
| Student > Master | 5 | 13% |
| Student > Bachelor | 5 | 13% |
| Student > Postgraduate | 3 | 8% |
| Other | 3 | 8% |
| Other | 10 | 26% |
| Unknown | 7 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 12 | 32% |
| Agricultural and Biological Sciences | 3 | 8% |
| Biochemistry, Genetics and Molecular Biology | 3 | 8% |
| Nursing and Health Professions | 2 | 5% |
| Computer Science | 1 | 3% |
| Other | 9 | 24% |
| Unknown | 8 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2897. 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 01 March 2024.
All research outputs
#2,377
of 25,782,229 outputs
Outputs from medRxiv
#12
of 742 outputs
Outputs of similar age
#205
of 411,512 outputs
Outputs of similar age from medRxiv
#4
of 65 outputs
Altmetric has tracked 25,782,229 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 742 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 203.1. 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 411,512 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 65 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 93% of its contemporaries.