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X Demographics
Mendeley readers
Attention Score in Context
| Title |
PlantID – DNA-based identification of multiple medicinal plants in complex mixtures
|
|---|---|
| Published in |
Chinese Medicine, July 2012
|
| DOI | 10.1186/1749-8546-7-18 |
| Pubmed ID | |
| Authors |
Caroline Howard, Eleni Socratous, Sarah Williams, Eleanor Graham, Mark R Fowler, Nigel W Scott, Paul D Bremner, Adrian Slater |
| Abstract |
An efficient method for the identification of medicinal plant products is now a priority as the global demand increases. This study aims to develop a DNA-based method for the identification and authentication of plant species that can be implemented in the industry to aid compliance with regulations, based upon the economically important Hypericum perforatum L. (St John's Wort or Guan ye Lian Qiao). |
X Demographics
The data shown below were collected from the profiles of 3 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 | 1 | 33% |
| United Kingdom | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 3% |
| Unknown | 34 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 26% |
| Student > Ph. D. Student | 6 | 17% |
| Other | 5 | 14% |
| Professor > Associate Professor | 3 | 9% |
| Student > Bachelor | 2 | 6% |
| Other | 4 | 11% |
| Unknown | 6 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 15 | 43% |
| Biochemistry, Genetics and Molecular Biology | 7 | 20% |
| Medicine and Dentistry | 2 | 6% |
| Unspecified | 1 | 3% |
| Earth and Planetary Sciences | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 8 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 July 2012.
All research outputs
#15,168,167
of 25,371,288 outputs
Outputs from Chinese Medicine
#221
of 660 outputs
Outputs of similar age
#103,494
of 178,798 outputs
Outputs of similar age from Chinese Medicine
#3
of 5 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 660 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has gotten more attention than average, scoring higher than 63% 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 178,798 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.