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Laser Capture Microdissection and RNA-Seq Analysis: High Sensitivity Approaches to Explain Histopathological Heterogeneity in Human Glioblastoma FFPE Archived Tissues

Overview of attention for article published in Frontiers in oncology, June 2019
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114 Mendeley
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Title
Laser Capture Microdissection and RNA-Seq Analysis: High Sensitivity Approaches to Explain Histopathological Heterogeneity in Human Glioblastoma FFPE Archived Tissues
Published in
Frontiers in oncology, June 2019
DOI 10.3389/fonc.2019.00482
Pubmed ID
Authors

Prospero Civita, Sara Franceschi, Paolo Aretini, Valerio Ortenzi, Michele Menicagli, Francesca Lessi, Francesco Pasqualetti, Antonio Giuseppe Naccarato, Chiara Maria Mazzanti

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X Demographics

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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 114 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 18%
Student > Master 19 17%
Researcher 17 15%
Student > Bachelor 11 10%
Student > Doctoral Student 4 4%
Other 9 8%
Unknown 33 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 35 31%
Medicine and Dentistry 11 10%
Neuroscience 10 9%
Agricultural and Biological Sciences 8 7%
Pharmacology, Toxicology and Pharmaceutical Science 4 4%
Other 12 11%
Unknown 34 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 August 2019.
All research outputs
#17,595,983
of 26,589,077 outputs
Outputs from Frontiers in oncology
#7,032
of 23,335 outputs
Outputs of similar age
#227,224
of 372,088 outputs
Outputs of similar age from Frontiers in oncology
#125
of 289 outputs
Altmetric has tracked 26,589,077 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 23,335 research outputs from this source. They receive a mean Attention Score of 3.2. This one has gotten more attention than average, scoring higher than 64% 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 372,088 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 289 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 50% of its contemporaries.