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Formation and ionization energies of small chlorine‐doped lithium clusters by thermal ionization mass spectrometry

Overview of attention for article published in Rapid Communications in Mass Spectrometry, January 2012
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Title
Formation and ionization energies of small chlorine‐doped lithium clusters by thermal ionization mass spectrometry
Published in
Rapid Communications in Mass Spectrometry, January 2012
DOI 10.1002/rcm.6122
Pubmed ID
Authors

S. R. Veličković, J. B. Djustebek, F. M. Veljković, B. B. Radak, M. V. Veljković

Abstract

Theoretical calculations have shown that the first ionization energy of clusters of the type Li(n) Cl (n ≥2), with more than eight valent electrons, is lower than that of alkali metal atoms; hence they are named superalkali. Superalkali clusters can mimic the chemical behavior of alkali metals and may be used as building blocks of new cluster-assembled materials. There is currently no reliable experimental proof of this kind of clusters and such proof is required.

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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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 2 25%
Other 1 13%
Student > Ph. D. Student 1 13%
Researcher 1 13%
Professor > Associate Professor 1 13%
Other 0 0%
Unknown 2 25%
Readers by discipline Count As %
Chemistry 5 63%
Materials Science 1 13%
Unknown 2 25%
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 12 January 2012.
All research outputs
#21,933,402
of 24,471,305 outputs
Outputs from Rapid Communications in Mass Spectrometry
#4,187
of 4,889 outputs
Outputs of similar age
#229,044
of 251,876 outputs
Outputs of similar age from Rapid Communications in Mass Spectrometry
#26
of 49 outputs
Altmetric has tracked 24,471,305 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 4,889 research outputs from this source. They receive a mean Attention Score of 3.3. 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 251,876 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 49 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.