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Attention Score in Context
Title |
Cellular reprogramming by transcription factor engineering
|
---|---|
Published in |
Current Opinion in Genetics & Development, August 2014
|
DOI | 10.1016/j.gde.2014.07.001 |
Pubmed ID | |
Authors |
Jason CH Tsang, Xuefei Gao, Liming Lu, Pentao Liu |
Abstract |
Recent researches have identified multiple transcription factors as permissible reprogramming factors to pluripotency and lineage switching. The current standard strategy by ectopic factor overexpression however has intrinsic limitations in studying the reprogramming mechanism. There is a growing interest in engineering novel chimeric reprogramming factors and applying designer transcription factors technology to improve reprogramming efficiency and dissect the process of endogenous pluripotency network reactivation. Here, we provide a concise review on the latest progress in studying cellular reprogramming by transcription factor engineering. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 40% |
Germany | 1 | 20% |
Unknown | 2 | 40% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 60% |
Science communicators (journalists, bloggers, editors) | 1 | 20% |
Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 3% |
United Kingdom | 1 | 1% |
Germany | 1 | 1% |
Unknown | 65 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 17 | 25% |
Researcher | 16 | 23% |
Student > Master | 10 | 14% |
Student > Bachelor | 8 | 12% |
Professor > Associate Professor | 5 | 7% |
Other | 9 | 13% |
Unknown | 4 | 6% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 34 | 49% |
Biochemistry, Genetics and Molecular Biology | 21 | 30% |
Engineering | 3 | 4% |
Medicine and Dentistry | 3 | 4% |
Linguistics | 1 | 1% |
Other | 2 | 3% |
Unknown | 5 | 7% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 31 August 2014.
All research outputs
#3,373,931
of 25,374,917 outputs
Outputs from Current Opinion in Genetics & Development
#271
of 1,740 outputs
Outputs of similar age
#33,628
of 247,761 outputs
Outputs of similar age from Current Opinion in Genetics & Development
#8
of 33 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,740 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has done well, scoring higher than 84% 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 247,761 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 86% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.