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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
Identifying Cell-Type Specific Genes and Expression Rules Based on Single-Cell Transcriptomic Atlas Data
|
---|---|
Published in |
Frontiers in Bioengineering and Biotechnology, April 2020
|
DOI | 10.3389/fbioe.2020.00350 |
Pubmed ID | |
Authors |
Fei Yuan, XiaoYong Pan, Tao Zeng, Yu-Hang Zhang, Lei Chen, Zijun Gan, Tao Huang, Yu-Dong Cai |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Australia | 2 | 20% |
Germany | 1 | 10% |
Austria | 1 | 10% |
Italy | 1 | 10% |
Switzerland | 1 | 10% |
Unknown | 4 | 40% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 7 | 70% |
Scientists | 3 | 30% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 17 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 5 | 29% |
Student > Ph. D. Student | 4 | 24% |
Student > Bachelor | 2 | 12% |
Student > Doctoral Student | 2 | 12% |
Student > Master | 1 | 6% |
Other | 0 | 0% |
Unknown | 3 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 5 | 29% |
Agricultural and Biological Sciences | 4 | 24% |
Neuroscience | 2 | 12% |
Nursing and Health Professions | 1 | 6% |
Computer Science | 1 | 6% |
Other | 1 | 6% |
Unknown | 3 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 18 May 2020.
All research outputs
#6,483,718
of 23,577,761 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#981
of 7,169 outputs
Outputs of similar age
#130,632
of 379,426 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#110
of 396 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 7,169 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 86% 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 379,426 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 65% of its contemporaries.
We're also able to compare this research output to 396 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 71% of its contemporaries.