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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
Deep Reinforcement Learning for Data Association in Cell Tracking
|
---|---|
Published in |
Frontiers in Bioengineering and Biotechnology, April 2020
|
DOI | 10.3389/fbioe.2020.00298 |
Pubmed ID | |
Authors |
Junjie Wang, Xiaohong Su, Lingling Zhao, Jun Zhang |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 19 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 32% |
Student > Bachelor | 3 | 16% |
Student > Master | 3 | 16% |
Professor | 1 | 5% |
Lecturer > Senior Lecturer | 1 | 5% |
Other | 0 | 0% |
Unknown | 5 | 26% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 5 | 26% |
Computer Science | 5 | 26% |
Mathematics | 1 | 5% |
Nursing and Health Professions | 1 | 5% |
Medicine and Dentistry | 1 | 5% |
Other | 1 | 5% |
Unknown | 5 | 26% |
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 09 April 2020.
All research outputs
#21,709,675
of 24,226,848 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#5,081
of 7,679 outputs
Outputs of similar age
#324,092
of 377,735 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#291
of 354 outputs
Altmetric has tracked 24,226,848 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,679 research outputs from this source. They receive a mean Attention Score of 3.6. 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 377,735 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 354 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.