↓ Skip to main content

A prognostic analysis of pediatrics central nervous system small cell tumors: evaluation of EGFR family gene amplification and overexpression

Overview of attention for article published in Diagnostic Pathology, July 2014
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

twitter
1 X user
patent
2 patents

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
37 Mendeley
Title
A prognostic analysis of pediatrics central nervous system small cell tumors: evaluation of EGFR family gene amplification and overexpression
Published in
Diagnostic Pathology, July 2014
DOI 10.1186/1746-1596-9-132
Pubmed ID
Authors

Weidong Liu, Shigang Zhang, Liyong Zhang, Qingke Cui, Jiyue Wang, Ting Gui, Qi Pang

Abstract

Central nervous system (CNS) tumors are the most common solid tumors that occur in children, however there were few big-data follow-up analysis published in China. Overexpression of epidermal growth factor receptor (EGFR) family members was reported on glioblastoma (GBM) and medulloblastoma (MB) before. However, the correlation between EGFR family members expression with prognosis of MB, supratentorial primitive neuroectodermal tumor (PNET) and small cell GBM is unclear in Chinese children.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 3%
Unknown 36 97%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 16%
Student > Master 5 14%
Researcher 4 11%
Student > Ph. D. Student 4 11%
Student > Doctoral Student 3 8%
Other 7 19%
Unknown 8 22%
Readers by discipline Count As %
Medicine and Dentistry 13 35%
Biochemistry, Genetics and Molecular Biology 4 11%
Computer Science 4 11%
Neuroscience 3 8%
Psychology 1 3%
Other 3 8%
Unknown 9 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 22 October 2020.
All research outputs
#4,506,719
of 22,758,248 outputs
Outputs from Diagnostic Pathology
#102
of 1,122 outputs
Outputs of similar age
#44,540
of 227,590 outputs
Outputs of similar age from Diagnostic Pathology
#6
of 40 outputs
Altmetric has tracked 22,758,248 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,122 research outputs from this source. They receive a mean Attention Score of 2.8. This one has done particularly well, scoring higher than 90% 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 227,590 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.