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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Bat origin of human coronaviruses
|
|---|---|
| Published in |
Virology Journal, December 2015
|
| DOI | 10.1186/s12985-015-0422-1 |
| Pubmed ID | |
| Authors |
Ben Hu, Xingyi Ge, Lin-Fa Wang, Zhengli Shi |
| Abstract |
Bats have been recognized as the natural reservoirs of a large variety of viruses. Special attention has been paid to bat coronaviruses as the two emerging coronaviruses which have caused unexpected human disease outbreaks in the 21st century, Severe Acute Respiratory Syndrome Coronavirus (SARS-CoV) and Middle East Respiratory Syndrome Coronavirus (MERS-CoV), are suggested to be originated from bats. Various species of horseshoe bats in China have been found to harbor genetically diverse SARS-like coronaviruses. Some strains are highly similar to SARS-CoV even in the spike protein and are able to use the same receptor as SARS-CoV for cell entry. On the other hand, diverse coronaviruses phylogenetically related to MERS-CoV have been discovered worldwide in a wide range of bat species, some of which can be classified to the same coronavirus species as MERS-CoV. Coronaviruses genetically related to human coronavirus 229E and NL63 have been detected in bats as well. Moreover, intermediate hosts are believed to play an important role in the transmission and emergence of these coronaviruses from bats to humans. Understanding the bat origin of human coronaviruses is helpful for the prediction and prevention of another pandemic emergence in the future. |
X Demographics
The data shown below were collected from the profiles of 303 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Argentina | 40 | 13% |
| United States | 36 | 12% |
| United Kingdom | 17 | 6% |
| Canada | 7 | 2% |
| Australia | 6 | 2% |
| Japan | 5 | 2% |
| India | 5 | 2% |
| Mongolia | 5 | 2% |
| Netherlands | 3 | <1% |
| Other | 33 | 11% |
| Unknown | 146 | 48% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 270 | 89% |
| Scientists | 22 | 7% |
| Science communicators (journalists, bloggers, editors) | 5 | 2% |
| Practitioners (doctors, other healthcare professionals) | 4 | 1% |
| Unknown | 2 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 379 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 379 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 67 | 18% |
| Student > Master | 43 | 11% |
| Researcher | 35 | 9% |
| Student > Ph. D. Student | 26 | 7% |
| Student > Doctoral Student | 23 | 6% |
| Other | 55 | 15% |
| Unknown | 130 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 64 | 17% |
| Agricultural and Biological Sciences | 32 | 8% |
| Medicine and Dentistry | 29 | 8% |
| Veterinary Science and Veterinary Medicine | 22 | 6% |
| Immunology and Microbiology | 19 | 5% |
| Other | 65 | 17% |
| Unknown | 148 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 437. 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 29 December 2023.
All research outputs
#65,660
of 25,809,966 outputs
Outputs from Virology Journal
#8
of 3,433 outputs
Outputs of similar age
#932
of 399,776 outputs
Outputs of similar age from Virology Journal
#1
of 52 outputs
Altmetric has tracked 25,809,966 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 3,433 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.9. 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 399,776 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 52 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.