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ProCarDB: a database of bacterial carotenoids

Overview of attention for article published in BMC Microbiology, May 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)

Mentioned by

6 tweeters
1 Wikipedia page


48 Dimensions

Readers on

83 Mendeley
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ProCarDB: a database of bacterial carotenoids
Published in
BMC Microbiology, May 2016
DOI 10.1186/s12866-016-0715-6
Pubmed ID

L. N. U. Nupur, Asheema Vats, Sandeep Kumar Dhanda, Gajendra P. S. Raghava, Anil Kumar Pinnaka, Ashwani Kumar


Carotenoids have important functions in bacteria, ranging from harvesting light energy to neutralizing oxidants and acting as virulence factors. However, information pertaining to the carotenoids is scattered throughout the literature. Furthermore, information about the genes/proteins involved in the biosynthesis of carotenoids has tremendously increased in the post-genomic era. A web server providing the information about microbial carotenoids in a structured manner is required and will be a valuable resource for the scientific community working with microbial carotenoids. Here, we have created a manually curated, open access, comprehensive compilation of bacterial carotenoids named as ProCarDB- Prokaryotic Carotenoid Database. ProCarDB includes 304 unique carotenoids arising from 50 biosynthetic pathways distributed among 611 prokaryotes. ProCarDB provides important information on carotenoids, such as 2D and 3D structures, molecular weight, molecular formula, SMILES, InChI, InChIKey, IUPAC name, KEGG Id, PubChem Id, and ChEBI Id. The database also provides NMR data, UV-vis absorption data, IR data, MS data and HPLC data that play key roles in the identification of carotenoids. An important feature of this database is the extension of biosynthetic pathways from the literature and through the presence of the genes/enzymes in different organisms. The information contained in the database was mined from published literature and databases such as KEGG, PubChem, ChEBI, LipidBank, LPSN, and Uniprot. The database integrates user-friendly browsing and searching with carotenoid analysis tools to help the user. We believe that this database will serve as a major information centre for researchers working on bacterial carotenoids.

Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 2 2%
Unknown 81 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 19%
Researcher 14 17%
Student > Master 13 16%
Student > Bachelor 12 14%
Professor > Associate Professor 4 5%
Other 9 11%
Unknown 15 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 23 28%
Agricultural and Biological Sciences 16 19%
Medicine and Dentistry 7 8%
Environmental Science 3 4%
Immunology and Microbiology 3 4%
Other 7 8%
Unknown 24 29%

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 14 January 2019.
All research outputs
of 18,914,672 outputs
Outputs from BMC Microbiology
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Outputs of similar age
of 276,056 outputs
Outputs of similar age from BMC Microbiology
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Altmetric has tracked 18,914,672 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,801 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 88% 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 276,056 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 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them