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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Predicting the influence of multiple components on microbial inhibition using a logistic response model - a novel approach
|
|---|---|
| Published in |
BMC Complementary Medicine and Therapies, June 2014
|
| DOI | 10.1186/1472-6882-14-190 |
| Pubmed ID | |
| Authors |
Cynthia J Henley-Smith, Francois E Steffens, Francien S Botha, Namrita Lall |
| Abstract |
There are several synergistic methods available. However, there is a vast discrepancy in the interpretation of the synergistic results. Also, these synergistic methods do not assess the influence the tested components (drugs, plant and natural extracts), have upon one another, when more than two components are combined. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 3% |
| Unknown | 36 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 16% |
| Researcher | 6 | 16% |
| Student > Bachelor | 4 | 11% |
| Lecturer | 2 | 5% |
| Student > Postgraduate | 2 | 5% |
| Other | 7 | 19% |
| Unknown | 10 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 7 | 19% |
| Agricultural and Biological Sciences | 4 | 11% |
| Medicine and Dentistry | 4 | 11% |
| Biochemistry, Genetics and Molecular Biology | 3 | 8% |
| Immunology and Microbiology | 2 | 5% |
| Other | 4 | 11% |
| Unknown | 13 | 35% |
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 05 March 2015.
All research outputs
#7,203,348
of 22,768,097 outputs
Outputs from BMC Complementary Medicine and Therapies
#1,174
of 3,622 outputs
Outputs of similar age
#70,349
of 228,666 outputs
Outputs of similar age from BMC Complementary Medicine and Therapies
#28
of 85 outputs
Altmetric has tracked 22,768,097 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 3,622 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one has gotten more attention than average, scoring higher than 66% 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 228,666 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 68% of its contemporaries.
We're also able to compare this research output to 85 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.