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The dye-sensitized solar cell database

Overview of attention for article published in Journal of Cheminformatics, April 2018
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Title
The dye-sensitized solar cell database
Published in
Journal of Cheminformatics, April 2018
DOI 10.1186/s13321-018-0272-0
Pubmed ID
Authors

Vishwesh Venkatraman, Rajesh Raju, Solon P. Oikonomopoulos, Bjørn K. Alsberg

Abstract

Dye-sensitized solar cells (DSSCs) have garnered a lot of attention in recent years. The solar energy to power conversion efficiency of a DSSC is influenced by various components of the cell such as the dye, electrolyte, electrodes and additives among others leading to varying experimental configurations. A large number of metal-based and metal-free dye sensitizers have now been reported and tools using such data to indicate new directions for design and development are on the rise. DSSCDB, the first of its kind dye-sensitized solar cell database, aims to provide users with up-to-date information from publications on the molecular structures of the dyes, experimental details and reported measurements (efficiencies and spectral properties) and thereby facilitate a comprehensive and critical evaluation of the data. Currently, the DSSCDB contains over 4000 experimental observations spanning multiple dye classes such as triphenylamines, carbazoles, coumarins, phenothiazines, ruthenium and porphyrins. The DSSCDB offers a web-based, comprehensive source of property data for dye sensitized solar cells. Access to the database is available through the following URL: www.dyedb.com .

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 158 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 158 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 16%
Student > Master 19 12%
Student > Bachelor 17 11%
Researcher 14 9%
Student > Doctoral Student 7 4%
Other 22 14%
Unknown 54 34%
Readers by discipline Count As %
Chemistry 35 22%
Engineering 15 9%
Materials Science 10 6%
Energy 8 5%
Physics and Astronomy 7 4%
Other 17 11%
Unknown 66 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 23 February 2022.
All research outputs
#14,120,688
of 24,143,470 outputs
Outputs from Journal of Cheminformatics
#693
of 891 outputs
Outputs of similar age
#169,031
of 332,888 outputs
Outputs of similar age from Journal of Cheminformatics
#16
of 18 outputs
Altmetric has tracked 24,143,470 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 891 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one is in the 20th percentile – i.e., 20% 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 332,888 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 18 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.