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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Effective inhibition of MERS-CoV infection by resveratrol
|
|---|---|
| Published in |
BMC Infectious Diseases, February 2017
|
| DOI | 10.1186/s12879-017-2253-8 |
| Pubmed ID | |
| Authors |
Shih-Chao Lin, Chi-Tang Ho, Wen-Ho Chuo, Shiming Li, Tony T. Wang, Chi-Chen Lin |
X Demographics
The data shown below were collected from the profiles of 179 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 | 30 | 17% |
| United Kingdom | 11 | 6% |
| Turkey | 9 | 5% |
| Saudi Arabia | 3 | 2% |
| Australia | 3 | 2% |
| Canada | 3 | 2% |
| Germany | 3 | 2% |
| Spain | 3 | 2% |
| Netherlands | 2 | 1% |
| Other | 13 | 7% |
| Unknown | 99 | 55% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 158 | 88% |
| Scientists | 11 | 6% |
| Science communicators (journalists, bloggers, editors) | 5 | 3% |
| Practitioners (doctors, other healthcare professionals) | 4 | 2% |
| Unknown | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 345 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 345 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 46 | 13% |
| Student > Master | 42 | 12% |
| Student > Bachelor | 40 | 12% |
| Researcher | 36 | 10% |
| Student > Postgraduate | 17 | 5% |
| Other | 61 | 18% |
| Unknown | 103 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 54 | 16% |
| Medicine and Dentistry | 35 | 10% |
| Pharmacology, Toxicology and Pharmaceutical Science | 27 | 8% |
| Agricultural and Biological Sciences | 23 | 7% |
| Immunology and Microbiology | 17 | 5% |
| Other | 62 | 18% |
| Unknown | 127 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 186. 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 11 October 2022.
All research outputs
#220,588
of 25,848,962 outputs
Outputs from BMC Infectious Diseases
#61
of 8,719 outputs
Outputs of similar age
#4,934
of 434,698 outputs
Outputs of similar age from BMC Infectious Diseases
#3
of 174 outputs
Altmetric has tracked 25,848,962 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 8,719 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. 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 434,698 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 98% of its contemporaries.
We're also able to compare this research output to 174 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.