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 |
The Missing Piece: Recent Approaches Investigating the Antimicrobial Mode of Action of Essential Oils
|
|---|---|
| Published in |
Evolutionary Bioinformatics, May 2021
|
| DOI | 10.1177/1176934320938391 |
| Pubmed ID | |
| Authors |
Shun-Kai Yang, Ngai-Paing Tan, Chun-Wie Chong, Aisha Abushelaibi, Swee-Hua-Erin Lim, Kok-Song Lai |
X Demographics
The data shown below were collected from the profiles of 9 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 | 2 | 22% |
| Sweden | 1 | 11% |
| Mauritius | 1 | 11% |
| Unknown | 5 | 56% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 67% |
| Scientists | 2 | 22% |
| Practitioners (doctors, other healthcare professionals) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 66 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 9 | 14% |
| Student > Master | 9 | 14% |
| Researcher | 6 | 9% |
| Student > Ph. D. Student | 4 | 6% |
| Other | 3 | 5% |
| Other | 7 | 11% |
| Unknown | 28 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 10 | 15% |
| Agricultural and Biological Sciences | 7 | 11% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 6% |
| Immunology and Microbiology | 3 | 5% |
| Veterinary Science and Veterinary Medicine | 2 | 3% |
| Other | 5 | 8% |
| Unknown | 35 | 53% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 02 June 2021.
All research outputs
#8,270,333
of 25,387,668 outputs
Outputs from Evolutionary Bioinformatics
#77
of 408 outputs
Outputs of similar age
#173,720
of 454,140 outputs
Outputs of similar age from Evolutionary Bioinformatics
#3
of 6 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 408 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one has done well, scoring higher than 78% 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 454,140 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.