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Identification and Analysis of Glioblastoma Biomarkers Based on Single Cell Sequencing

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, March 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (56th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

twitter
9 X users

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
51 Mendeley
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Title
Identification and Analysis of Glioblastoma Biomarkers Based on Single Cell Sequencing
Published in
Frontiers in Bioengineering and Biotechnology, March 2020
DOI 10.3389/fbioe.2020.00167
Pubmed ID
Authors

Quan Cheng, Jing Li, Fan Fan, Hui Cao, Zi-Yu Dai, Ze-Yu Wang, Song-Shan Feng

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 18%
Student > Bachelor 6 12%
Student > Ph. D. Student 5 10%
Student > Doctoral Student 4 8%
Student > Master 4 8%
Other 2 4%
Unknown 21 41%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 22%
Medicine and Dentistry 6 12%
Neuroscience 4 8%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Engineering 2 4%
Other 4 8%
Unknown 22 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 21 March 2020.
All research outputs
#7,608,793
of 23,197,711 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#1,304
of 6,883 outputs
Outputs of similar age
#142,180
of 361,698 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#124
of 334 outputs
Altmetric has tracked 23,197,711 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,883 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 80% 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 361,698 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 56% of its contemporaries.
We're also able to compare this research output to 334 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 62% of its contemporaries.