↓ Skip to main content

TMDB: A literature-curated database for small molecular compounds found from tea

Overview of attention for article published in BMC Plant Biology, September 2014
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
72 Dimensions

Readers on

mendeley
44 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
TMDB: A literature-curated database for small molecular compounds found from tea
Published in
BMC Plant Biology, September 2014
DOI 10.1186/s12870-014-0243-1
Pubmed ID
Authors

Yi Yue, Gang-Xiu Chu, Xue-Shi Liu, Xing Tang, Wei Wang, Guang-Jin Liu, Tao Yang, Tie-Jun Ling, Xiao-Gang Wang, Zheng-Zhu Zhang, Tao Xia, Xiao-Chun Wan, Guan-Hu Bao

Abstract

BackgroundTea is one of the most consumed beverages worldwide. The healthy effects of tea are attributed to a wealthy of different chemical components from tea. Thousands of studies on the chemical constituents of tea had been reported. However, data from these individual reports have not been collected into a single database. The lack of a curated database of related information limits research in this field, and thus a cohesive database system should necessarily be constructed for data deposit and further application.DescriptionThe Tea Metabolome database (TMDB), a manually curated and web-accessible database, was developed to provide detailed, searchable descriptions of small molecular compounds found in Camellia spp. esp. in the plant Camellia sinensis and compounds in its manufactured products (different kinds of tea infusion). TMDB is currently the most complete and comprehensive curated collection of tea compounds data in the world. It contains records for more than 1393 constituents found in tea with information gathered from 364 published books, journal articles, and electronic databases. It also contains experimental 1H NMR and 13C NMR data collected from the purified reference compounds or collected from other database resources such as HMDB. TMDB interface allows users to retrieve tea compounds entries by keyword search using compound name, formula, occurrence, and CAS register number. Each entry in the TMDB contains an average of 24 separate data fields including its original plant species, compound structure, formula, molecular weight, name, CAS registry number, compound types, compound uses including healthy benefits, reference literatures, NMR, MS data, and the corresponding ID from databases such as HMDB and Pubmed. Users can also contribute novel regulatory entries by using a web-based submission page. The TMDB database is freely accessible from the URL of http://pcsb.ahau.edu.cn:8080/TCDB/index.jsp. The TMDB is designed to address the broad needs of tea biochemists, natural products chemists, nutritionists, and members of tea related research community.ConclusionThe TMDB database provides a solid platform for collection, standardization, and searching of compounds information found in tea. As such this database will be a comprehensive repository for tea biochemistry and tea health research community.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 5%
Mexico 1 2%
Japan 1 2%
Unknown 40 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 16%
Student > Master 7 16%
Student > Bachelor 6 14%
Student > Ph. D. Student 5 11%
Student > Postgraduate 3 7%
Other 9 20%
Unknown 7 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 20%
Biochemistry, Genetics and Molecular Biology 5 11%
Chemistry 5 11%
Medicine and Dentistry 4 9%
Pharmacology, Toxicology and Pharmaceutical Science 3 7%
Other 6 14%
Unknown 12 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 24 September 2014.
All research outputs
#21,264,673
of 23,881,329 outputs
Outputs from BMC Plant Biology
#2,607
of 3,322 outputs
Outputs of similar age
#193,451
of 227,960 outputs
Outputs of similar age from BMC Plant Biology
#50
of 62 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,322 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 1st percentile – i.e., 1% 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 227,960 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.