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X Demographics
Mendeley readers
Attention Score in Context
Title |
Temporal dynamics and transcriptional control using single-cell gene expression analysis
|
---|---|
Published in |
Genome Biology, December 2013
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DOI | 10.1186/gb-2013-14-10-r118 |
Pubmed ID | |
Authors |
Tsukasa Kouno, Michiel de Hoon, Jessica C Mar, Yasuhiro Tomaru, Mitsuoki Kawano, Piero Carninci, Harukazu Suzuki, Yoshihide Hayashizaki, Jay W Shin |
Abstract |
Changes in environmental conditions lead to expression variation that manifest at the level of gene regulatory networks. Despite a strong understanding of the role noise plays in synthetic biological systems, it remains unclear how propagation of expression heterogeneity in an endogenous regulatory network is distributed and utilized by cells transitioning through a key developmental event. |
X Demographics
The data shown below were collected from the profiles of 21 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 | 4 | 19% |
Australia | 3 | 14% |
France | 1 | 5% |
Netherlands | 1 | 5% |
Egypt | 1 | 5% |
United Kingdom | 1 | 5% |
Japan | 1 | 5% |
India | 1 | 5% |
Unknown | 8 | 38% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 10 | 48% |
Members of the public | 9 | 43% |
Science communicators (journalists, bloggers, editors) | 2 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 149 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 9 | 6% |
United Kingdom | 1 | <1% |
China | 1 | <1% |
Italy | 1 | <1% |
Unknown | 137 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 42 | 28% |
Researcher | 36 | 24% |
Professor > Associate Professor | 11 | 7% |
Student > Bachelor | 10 | 7% |
Student > Master | 9 | 6% |
Other | 22 | 15% |
Unknown | 19 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 67 | 45% |
Biochemistry, Genetics and Molecular Biology | 19 | 13% |
Computer Science | 15 | 10% |
Medicine and Dentistry | 7 | 5% |
Engineering | 5 | 3% |
Other | 13 | 9% |
Unknown | 23 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 22. 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 09 November 2017.
All research outputs
#1,669,267
of 25,374,917 outputs
Outputs from Genome Biology
#1,367
of 4,467 outputs
Outputs of similar age
#18,197
of 320,160 outputs
Outputs of similar age from Genome Biology
#27
of 97 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 69% 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 320,160 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 94% of its contemporaries.
We're also able to compare this research output to 97 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 72% of its contemporaries.