↓ Skip to main content
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

blogs
3 blogs
twitter
28 X users
facebook
2 Facebook pages
googleplus
1 Google+ user

Readers on

mendeley
129 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
Neural stem cell-encoded temporal patterning delineates an early window of malignant susceptibility in Drosophila
Published in
eLife, June 2016
DOI 10.7554/elife.13463
Pubmed ID
Authors
Abstract

Pediatric neural tumors are often initiated during early development and can undergo very rapid transformation. However, the molecular basis of this early malignant susceptibility remains unknown. During Drosophila development, neural stem cells (NSCs) divide asymmetrically and generate intermediate progenitors that rapidly differentiate in neurons. Upon gene inactivation, these progeny can dedifferentiate and generate malignant tumors. Here, we find that intermediate progenitors are prone to malignancy only when born during an early window of development while expressing the transcription factor Chinmo, and the mRNA-binding proteins Imp/IGF2BP and Lin-28. These genes compose an oncogenic module that is coopted upon dedifferentiation of early-born intermediate progenitors to drive unlimited tumor growth. In late larvae, temporal transcription factor progression in NSCs silences the module, thereby limiting mitotic potential and terminating the window of malignant susceptibility. Thus, this study identifies the gene regulatory network that confers malignant potential to neural tumors with early developmental origins.

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
X Demographics

X Demographics

The data shown below were collected from the profiles of 28 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 129 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
United Kingdom 1 <1%
Unknown 128 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 29 22%
Researcher 22 17%
Student > Master 18 14%
Student > Bachelor 12 9%
Student > Doctoral Student 4 3%
Other 11 9%
Unknown 33 26%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 50 39%
Agricultural and Biological Sciences 26 20%
Neuroscience 14 11%
Unspecified 1 <1%
Pharmacology, Toxicology and Pharmaceutical Science 1 <1%
Other 4 3%
Unknown 33 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 37. 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 14 March 2020.
All research outputs
#1,299,243
of 29,689,648 outputs
Outputs from eLife
#3,442
of 18,043 outputs
Outputs of similar age
#19,506
of 326,416 outputs
Outputs of similar age from eLife
#61
of 287 outputs
Altmetric has tracked 29,689,648 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 18,043 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 31.4. 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 326,416 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 287 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.