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Mendeley readers
Attention Score in Context
| Title |
Genetic variation and metabolic pathway intricacy govern the active compound content and quality of the Chinese medicinal plantLonicera japonicathunb
|
|---|---|
| Published in |
BMC Genomics, May 2012
|
| DOI | 10.1186/1471-2164-13-195 |
| Pubmed ID | |
| Authors |
Yuan Yuan, Lipu Song, Minhui Li, Guiming Liu, Yanan Chu, Luyu Ma, Yuanyuan Zhou, Xiao Wang, Wei Gao, Shuangshuang Qin, Jun Yu, Xumin Wang, Luqi Huang |
| Abstract |
Traditional Chinese medicine uses various herbs for the treatment of various diseases for thousands of years and it is now time to assess the characteristics and effectiveness of these medicinal plants based on modern genetic and molecular tools. The herb Flos Lonicerae Japonicae (FLJ or Lonicera japonica Thunb.) is used as an anti-inflammatory agent but the chemical quality of FLJ and its medicinal efficacy has not been consistent. Here, we analyzed the transcriptomes and metabolic pathways to evaluate the active medicinal compounds in FLJ and hope that this approach can be used for a variety of medicinal herbs in the future. |
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 % |
|---|---|---|
| Canada | 1 | 50% |
| Germany | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 51 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 18% |
| Student > Ph. D. Student | 9 | 18% |
| Researcher | 7 | 14% |
| Student > Postgraduate | 6 | 12% |
| Student > Doctoral Student | 5 | 10% |
| Other | 7 | 14% |
| Unknown | 8 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 25 | 49% |
| Biochemistry, Genetics and Molecular Biology | 8 | 16% |
| Medicine and Dentistry | 4 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 6% |
| Arts and Humanities | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 7 | 14% |
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 22 May 2012.
All research outputs
#14,144,226
of 22,665,794 outputs
Outputs from BMC Genomics
#5,674
of 10,615 outputs
Outputs of similar age
#95,884
of 163,617 outputs
Outputs of similar age from BMC Genomics
#38
of 93 outputs
Altmetric has tracked 22,665,794 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,615 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 42nd percentile – i.e., 42% of its peers scored the same or lower than it.
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 163,617 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 93 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 53% of its contemporaries.