↓ Skip to main content

Performance Evaluation and Lubrication Mechanism of Water-Based Nanolubricants Containing Nano-TiO2 in Hot Steel Rolling

Overview of attention for article published in Lubricants, July 2018
Altmetric Badge

About this Attention Score

  • Among the highest-scoring outputs from this source (#47 of 164)

Mentioned by

twitter
1 tweeter

Readers on

mendeley
1 Mendeley
Title
Performance Evaluation and Lubrication Mechanism of Water-Based Nanolubricants Containing Nano-TiO2 in Hot Steel Rolling
Published in
Lubricants, July 2018
DOI 10.3390/lubricants6030057
Authors

Hui Wu, Jingwei Zhao, Liang Luo, Shuiquan Huang, Lianzhou Wang, Suoquan Zhang, Sihai Jiao, Han Huang, Zhengyi Jiang

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 100%
Readers by discipline Count As %
Unspecified 1 100%

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 31 July 2018.
All research outputs
#9,944,769
of 12,422,276 outputs
Outputs from Lubricants
#47
of 164 outputs
Outputs of similar age
#200,527
of 269,477 outputs
Outputs of similar age from Lubricants
#7
of 27 outputs
Altmetric has tracked 12,422,276 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 164 research outputs from this source. They receive a mean Attention Score of 0.8. 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 269,477 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 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.