Knowledge transfer-oriented deep neural network framework for estimation and forecasting the state of health of the Lithium-ion batteries

Overview of attention for article published in Journal of Energy Storage, September 2022

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Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter: 2 X users

Readers on

mendeley: 21 Mendeley

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Article details
Title	Knowledge transfer-oriented deep neural network framework for estimation and forecasting the state of health of the Lithium-ion batteries
Published in	Journal of Energy Storage, September 2022
DOI	10.1016/j.est.2022.105183
Authors	Sajjad Maleki, Amin Mahmoudi, Amirmehdi Yazdani

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Timeline

Activity

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.

Geographical breakdown

Geographical breakdown
Country	Count	As %
Singapore	1	50%
Unknown	1	50%

Demographic breakdown

Type
Type	Count	As %
Scientists	1	50%
Members of the public	1	50%

Mendeley demographics

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

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Geographical breakdown

Geographical breakdown
Country	Count	As %
Unknown	21	100%

Demographic breakdown

Readers by professional status
Readers by professional status	Count	As %
Student > Ph. D. Student	3	14%
Other	1	5%
Lecturer	1	5%
Student > Bachelor	1	5%
Student > Master	1	5%
Other	2	10%
Unknown	12	57%

Readers by discipline
Readers by discipline	Count	As %
Engineering	3	14%
Pharmacology, Toxicology and Pharmaceutical Science	1	5%
Business, Management and Accounting	1	5%
Agricultural and Biological Sciences	1	5%
Computer Science	1	5%
Other	1	5%
Unknown	13	62%

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 01 July 2022.

All research outputs

#22,699,678

of 27,791,073 outputs

Outputs from Journal of Energy Storage

#1,475

of 3,151 outputs

Outputs of similar age

#325,531

of 437,934 outputs

Outputs of similar age from Journal of Energy Storage

#83

of 211 outputs

Altmetric has tracked 27,791,073 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.

So far Altmetric has tracked 3,151 research outputs from this source. They receive a mean Attention Score of 2.6. This one is in the 44th percentile – i.e., 44% 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 437,934 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 211 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.