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Mendeley readers
Attention Score in Context
Title |
Identifying Tmem59 related gene regulatory network of mouse neural stem cell from a compendium of expression profiles
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Published in |
BMC Systems Biology, September 2011
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DOI | 10.1186/1752-0509-5-152 |
Pubmed ID | |
Authors |
Luwen Zhang, Xiangchun Ju, Yumin Cheng, Xiuyun Guo, Tieqiao Wen |
Abstract |
Neural stem cells offer potential treatment for neurodegenerative disorders, such like Alzheimer's disease (AD). While much progress has been made in understanding neural stem cell function, a precise description of the molecular mechanisms regulating neural stem cells is not yet established. This lack of knowledge is a major barrier holding back the discovery of therapeutic uses of neural stem cells. In this paper, the regulatory mechanism of mouse neural stem cell (NSC) differentiation by tmem59 is explored on the genome-level. |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 3% |
Canada | 1 | 3% |
Unknown | 34 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 8 | 22% |
Student > Ph. D. Student | 7 | 19% |
Student > Master | 6 | 17% |
Student > Postgraduate | 2 | 6% |
Student > Bachelor | 1 | 3% |
Other | 3 | 8% |
Unknown | 9 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 10 | 28% |
Biochemistry, Genetics and Molecular Biology | 5 | 14% |
Medicine and Dentistry | 5 | 14% |
Immunology and Microbiology | 2 | 6% |
Nursing and Health Professions | 1 | 3% |
Other | 6 | 17% |
Unknown | 7 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 29 August 2012.
All research outputs
#6,907,825
of 22,653,392 outputs
Outputs from BMC Systems Biology
#269
of 1,142 outputs
Outputs of similar age
#41,157
of 131,769 outputs
Outputs of similar age from BMC Systems Biology
#9
of 52 outputs
Altmetric has tracked 22,653,392 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one has gotten more attention than average, scoring higher than 74% 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 131,769 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.