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On the TD-DFT UV/vis spectra accuracy: the azoalkanes

Overview of attention for article published in Theoretical Chemistry Accounts: Theory, Computation, & Modeling, February 2008
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About this Attention Score

  • Among the highest-scoring outputs from this source (#32 of 313)
  • Good Attention Score compared to outputs of the same age (66th percentile)

Mentioned by

patent
1 patent

Citations

dimensions_citation
37 Dimensions

Readers on

mendeley
51 Mendeley
citeulike
1 CiteULike
Title
On the TD-DFT UV/vis spectra accuracy: the azoalkanes
Published in
Theoretical Chemistry Accounts: Theory, Computation, & Modeling, February 2008
DOI 10.1007/s00214-008-0424-9
Authors

Denis Jacquemin, Eric A. Perpète, Ilaria Ciofini, Carlo Adamo

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 %
Germany 2 4%
United Kingdom 1 2%
India 1 2%
Spain 1 2%
United States 1 2%
Canada 1 2%
Colombia 1 2%
Unknown 43 84%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 35%
Professor 9 18%
Student > Bachelor 7 14%
Professor > Associate Professor 5 10%
Researcher 3 6%
Other 9 18%
Readers by discipline Count As %
Chemistry 37 73%
Unspecified 4 8%
Physics and Astronomy 3 6%
Materials Science 2 4%
Engineering 2 4%
Other 3 6%

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 16 April 2013.
All research outputs
#2,912,050
of 10,871,714 outputs
Outputs from Theoretical Chemistry Accounts: Theory, Computation, & Modeling
#32
of 313 outputs
Outputs of similar age
#33,316
of 102,809 outputs
Outputs of similar age from Theoretical Chemistry Accounts: Theory, Computation, & Modeling
#1
of 2 outputs
Altmetric has tracked 10,871,714 research outputs across all sources so far. This one has received more attention than most of these and is in the 51st percentile.
So far Altmetric has tracked 313 research outputs from this source. They receive a mean Attention Score of 2.1. This one has gotten more attention than average, scoring higher than 68% 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 102,809 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 2 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