| Title |
State-of-Health Identification of Lithium-Ion Batteries Based on Nonlinear Frequency Response Analysis: First Steps with Machine Learning
|
|---|---|
| Published in |
Applied Sciences, May 2018
|
| DOI | 10.3390/app8050821 |
| Authors |
Nina Harting, René Schenkendorf, Nicolas Wolff, Ulrike Krewer |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 3 | 60% |
| Switzerland | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 40% |
| Science communicators (journalists, bloggers, editors) | 2 | 40% |
| Members of the public | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 140 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 140 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 31 | 22% |
| Researcher | 24 | 17% |
| Student > Bachelor | 11 | 8% |
| Student > Doctoral Student | 10 | 7% |
| Student > Master | 9 | 6% |
| Other | 15 | 11% |
| Unknown | 40 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 52 | 37% |
| Energy | 15 | 11% |
| Chemistry | 9 | 6% |
| Chemical Engineering | 7 | 5% |
| Computer Science | 4 | 3% |
| Other | 8 | 6% |
| Unknown | 45 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 09 May 2019.
All research outputs
#6,944,172
of 23,061,402 outputs
Outputs from Applied Sciences
#1,037
of 9,663 outputs
Outputs of similar age
#120,013
of 329,526 outputs
Outputs of similar age from Applied Sciences
#15
of 105 outputs
Altmetric has tracked 23,061,402 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 9,663 research outputs from this source. They receive a mean Attention Score of 2.2. This one has done well, scoring higher than 89% 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 329,526 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 63% of its contemporaries.
We're also able to compare this research output to 105 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.