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X Demographics
Mendeley readers
Attention Score in Context
Title |
Continuum Model Analysis of QCM Nanotribological Data to Obtain Friction Coefficients for 304SS Contacts Lubricated by Water and TiO2 Nanoparticle Suspensions
|
---|---|
Published in |
Frontiers in Mechanical Engineering, September 2020
|
DOI | 10.3389/fmech.2020.00072 |
Authors |
Caitlin M. Seed, Biplav Acharya, Jacqueline Krim |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 7 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 2 | 29% |
Researcher | 2 | 29% |
Other | 1 | 14% |
Student > Doctoral Student | 1 | 14% |
Unknown | 1 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Energy | 2 | 29% |
Engineering | 2 | 29% |
Medicine and Dentistry | 1 | 14% |
Materials Science | 1 | 14% |
Unknown | 1 | 14% |
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 14 September 2020.
All research outputs
#13,337,412
of 23,237,082 outputs
Outputs from Frontiers in Mechanical Engineering
#86
of 511 outputs
Outputs of similar age
#191,286
of 400,977 outputs
Outputs of similar age from Frontiers in Mechanical Engineering
#9
of 35 outputs
Altmetric has tracked 23,237,082 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 511 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 81% 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 400,977 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 51% of its contemporaries.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.