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Correlative Microscopy—Novel Methods and Their Applications to Explore 3D Chemistry and Structure of Nanoscale Lattice Defects: A Case Study in Superalloys

Overview of attention for article published in JOM, March 2018
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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 (78th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

news
1 news outlet
twitter
5 X users

Citations

dimensions_citation
68 Dimensions

Readers on

mendeley
93 Mendeley
Title
Correlative Microscopy—Novel Methods and Their Applications to Explore 3D Chemistry and Structure of Nanoscale Lattice Defects: A Case Study in Superalloys
Published in
JOM, March 2018
DOI 10.1007/s11837-018-2802-7
Authors

S. K. Makineni, M. Lenz, P. Kontis, Z. Li, A. Kumar, P. J. Felfer, S. Neumeier, M. Herbig, E. Spiecker, D. Raabe, B. Gault

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users 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 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 93 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 23 25%
Student > Ph. D. Student 20 22%
Student > Master 9 10%
Student > Doctoral Student 5 5%
Professor 4 4%
Other 13 14%
Unknown 19 20%
Readers by discipline Count As %
Materials Science 41 44%
Engineering 5 5%
Physics and Astronomy 2 2%
Chemistry 2 2%
Medicine and Dentistry 2 2%
Other 5 5%
Unknown 36 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 December 2023.
All research outputs
#4,009,100
of 24,985,232 outputs
Outputs from JOM
#111
of 1,597 outputs
Outputs of similar age
#73,611
of 339,143 outputs
Outputs of similar age from JOM
#2
of 12 outputs
Altmetric has tracked 24,985,232 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 1,597 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done particularly well, scoring higher than 93% 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 339,143 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 78% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.