| Title |
Challenge infection model for MERS-CoV based on naturally infected camels
|
|---|---|
| Published in |
Virology Journal, June 2020
|
| DOI | 10.1186/s12985-020-01347-5 |
| Pubmed ID | |
| Authors |
Naif Khalaf Alharbi, Osman H. Ibrahim, Ali Alhafufi, Samy Kasem, Ali Aldowerij, Raed Albrahim, Ali Abu-obaidah, Ali Alkarar, Faisal Altaib Bayoumi, Ali Mohammed Almansour, Musaad Aldubaib, Hail M. Al-Abdely, Hanan H. Balkhy, Ibrahim Qasim |
X Demographics
The data shown below were collected from the profiles of 42 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Saudi Arabia | 21 | 50% |
| United Kingdom | 3 | 7% |
| Egypt | 1 | 2% |
| Ireland | 1 | 2% |
| Germany | 1 | 2% |
| Canada | 1 | 2% |
| Unknown | 14 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 34 | 81% |
| Scientists | 4 | 10% |
| Practitioners (doctors, other healthcare professionals) | 2 | 5% |
| Science communicators (journalists, bloggers, editors) | 2 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 78 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 11 | 14% |
| Researcher | 10 | 13% |
| Student > Ph. D. Student | 8 | 10% |
| Student > Bachelor | 6 | 8% |
| Student > Doctoral Student | 4 | 5% |
| Other | 11 | 14% |
| Unknown | 28 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 12% |
| Nursing and Health Professions | 7 | 9% |
| Veterinary Science and Veterinary Medicine | 6 | 8% |
| Agricultural and Biological Sciences | 5 | 6% |
| Immunology and Microbiology | 5 | 6% |
| Other | 14 | 18% |
| Unknown | 32 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 38. 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 September 2022.
All research outputs
#1,083,638
of 25,707,225 outputs
Outputs from Virology Journal
#82
of 3,424 outputs
Outputs of similar age
#31,910
of 434,984 outputs
Outputs of similar age from Virology Journal
#1
of 57 outputs
Altmetric has tracked 25,707,225 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,424 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.5. This one has done particularly well, scoring higher than 97% 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 434,984 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 92% of its contemporaries.
We're also able to compare this research output to 57 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.