| Title |
In silico identification of compounds from Nigella sativa seed oil as potential inhibitors of SARS-CoV-2 targets
|
|---|---|
| Published in |
Bulletin of the National Research Centre, March 2021
|
| DOI | 10.1186/s42269-021-00517-x |
| Pubmed ID | |
| Authors |
Chidi Edbert Duru, Ijeoma Akunna Duru, Abayomi Emmanuel Adegboyega |
X Demographics
The data shown below were collected from the profiles of 43 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 5 | 12% |
| United Kingdom | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 36 | 84% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 40 | 93% |
| Scientists | 2 | 5% |
| Practitioners (doctors, other healthcare professionals) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 74 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 8 | 11% |
| Researcher | 8 | 11% |
| Student > Master | 6 | 8% |
| Lecturer | 4 | 5% |
| Student > Doctoral Student | 4 | 5% |
| Other | 10 | 14% |
| Unknown | 34 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 10 | 14% |
| Pharmacology, Toxicology and Pharmaceutical Science | 9 | 12% |
| Medicine and Dentistry | 6 | 8% |
| Agricultural and Biological Sciences | 5 | 7% |
| Chemistry | 4 | 5% |
| Other | 5 | 7% |
| Unknown | 35 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 26. 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 17 January 2024.
All research outputs
#1,493,100
of 25,806,763 outputs
Outputs from Bulletin of the National Research Centre
#9
of 174 outputs
Outputs of similar age
#40,463
of 455,680 outputs
Outputs of similar age from Bulletin of the National Research Centre
#2
of 13 outputs
Altmetric has tracked 25,806,763 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 174 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has done particularly well, scoring higher than 94% 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 455,680 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 91% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.