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X Demographics
Mendeley readers
Attention Score in Context
Title |
Fast galvanic lithium corrosion involving a Kirkendall-type mechanism
|
---|---|
Published in |
Nature Chemistry, January 2019
|
DOI | 10.1038/s41557-018-0203-8 |
Pubmed ID | |
Authors |
Dingchang Lin, Yayuan Liu, Yanbin Li, Yuzhang Li, Allen Pei, Jin Xie, William Huang, Yi Cui |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 22% |
Brazil | 1 | 11% |
United Kingdom | 1 | 11% |
China | 1 | 11% |
Unknown | 4 | 44% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 7 | 78% |
Scientists | 2 | 22% |
Mendeley readers
The data shown below were compiled from readership statistics for 222 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 222 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 66 | 30% |
Student > Master | 30 | 14% |
Researcher | 29 | 13% |
Student > Doctoral Student | 20 | 9% |
Student > Bachelor | 5 | 2% |
Other | 12 | 5% |
Unknown | 60 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Materials Science | 56 | 25% |
Chemistry | 42 | 19% |
Chemical Engineering | 18 | 8% |
Energy | 13 | 6% |
Engineering | 9 | 4% |
Other | 13 | 6% |
Unknown | 71 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 25 March 2021.
All research outputs
#1,844,468
of 24,144,324 outputs
Outputs from Nature Chemistry
#1,490
of 3,175 outputs
Outputs of similar age
#44,399
of 445,459 outputs
Outputs of similar age from Nature Chemistry
#31
of 47 outputs
Altmetric has tracked 24,144,324 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,175 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 35.2. This one has gotten more attention than average, scoring higher than 53% 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 445,459 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.