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X Demographics
Mendeley readers
Attention Score in Context
| Title |
TM-MC: a database of medicinal materials and chemical compounds in Northeast Asian traditional medicine
|
|---|---|
| Published in |
BMC Complementary Medicine and Therapies, July 2015
|
| DOI | 10.1186/s12906-015-0758-5 |
| Pubmed ID | |
| Authors |
Sang-Kyun Kim, SeJin Nam, Hyunchul Jang, Anna Kim, Jeong-Ju Lee |
| Abstract |
In traditional medicine, there has been a great deal of research on the effects exhibited by medicinal materials. To study the effects, resources that can systematically describe the chemical compounds in medicinal materials are necessary. In recent years, numerous databases on medicinal materials and constituent compounds have been constructed. However, because these databases provide differing information and the sources of such information are unclear or difficult to verify, it is difficult to decide which database to use. Moreover, there is much overlapping information. The aim of this study was to construct a database of medicinal materials and chemical compounds in Northeast Asian traditional medicine (TM-MC), for which medicinal materials are listed in the Korean, Chinese, and Japanese pharmacopoeias and information on the compound names of medicinal materials can easily be confirmed online. To provide information on the chemical compounds of medicinal materials, chromatography articles from MEDLINE and PubMed Central were searched. After chemical compounds of medicinal materials were extracted by manually investigating the full-text of articles, a database of information on about 14,000 compounds from 536 medicinal materials was built. The database also provides links to the articles from which each medicinal material and chemical compound were extracted. TM-MC database provides information on medicinal materials and their chemical compounds from chromatography articles in MEDLINE and PubMed Central. Researchers can easily check relevant information through the links to articles. |
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 % |
|---|---|---|
| Italy | 1 | 33% |
| Germany | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 2% |
| Unknown | 62 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 21% |
| Researcher | 13 | 21% |
| Student > Master | 9 | 14% |
| Student > Bachelor | 6 | 10% |
| Student > Postgraduate | 4 | 6% |
| Other | 4 | 6% |
| Unknown | 14 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 16 | 25% |
| Agricultural and Biological Sciences | 7 | 11% |
| Pharmacology, Toxicology and Pharmaceutical Science | 6 | 10% |
| Computer Science | 4 | 6% |
| Chemistry | 3 | 5% |
| Other | 7 | 11% |
| Unknown | 20 | 32% |
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 13 July 2015.
All research outputs
#14,169,197
of 22,816,807 outputs
Outputs from BMC Complementary Medicine and Therapies
#1,681
of 3,630 outputs
Outputs of similar age
#133,982
of 262,224 outputs
Outputs of similar age from BMC Complementary Medicine and Therapies
#42
of 99 outputs
Altmetric has tracked 22,816,807 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,630 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 53% 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 262,224 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 99 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 57% of its contemporaries.