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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identification of seven Zingiberaceous species based on comparative anatomy of microscopic characteristics of seeds
|
|---|---|
| Published in |
Chinese Medicine, March 2014
|
| DOI | 10.1186/1749-8546-9-10 |
| Pubmed ID | |
| Authors |
Meng-hua Wu, Wei Zhang, Ping Guo, Zhong-zhen Zhao |
| Abstract |
The fruits and seeds of Alpinia galanga (L.) Willd., Alpinia katsumadai Hayata, Alpinia zerumbet (Pers.) Burtt. & Smith, Amomum kravanh Pierre ex Gagnep., Amomum subulatum Roxb., Amomum tsao-ko Crevost et Lemaire, and Elettaria cardamomum (L.) Maton from Alpinia, Amomum, and Elettaria genera in the Zingiberaceae family are difficult to distinguish between each other. This study aims to identify the seeds of these seven species from Zingiberaceae family based on comparative anatomy of microscopic characteristics. |
X Demographics
The data shown below were collected from the profiles of 2 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 Kingdom | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 23% |
| Student > Ph. D. Student | 5 | 17% |
| Student > Bachelor | 4 | 13% |
| Student > Doctoral Student | 2 | 7% |
| Student > Postgraduate | 2 | 7% |
| Other | 4 | 13% |
| Unknown | 6 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 7 | 23% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 17% |
| Biochemistry, Genetics and Molecular Biology | 4 | 13% |
| Chemistry | 3 | 10% |
| Environmental Science | 2 | 7% |
| Other | 4 | 13% |
| Unknown | 5 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 10 December 2020.
All research outputs
#4,835,465
of 25,373,627 outputs
Outputs from Chinese Medicine
#89
of 660 outputs
Outputs of similar age
#44,755
of 235,508 outputs
Outputs of similar age from Chinese Medicine
#2
of 6 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
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 done well, scoring higher than 84% 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 235,508 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% 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 4 of them.