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Mendeley readers
Attention Score in Context
Title |
Novel Markov model of induced pluripotency predicts gene expression changes in reprogramming
|
---|---|
Published in |
BMC Systems Biology, December 2011
|
DOI | 10.1186/1752-0509-5-s2-s8 |
Pubmed ID | |
Authors |
Zhirui Hu, Minping Qian, Michael Q Zhang |
Abstract |
Somatic cells can be reprogrammed to induced-pluripotent stem cells (iPSCs) by introducing few reprogramming factors, which challenges the long held view that cell differentiation is irreversible. However, the mechanism of induced pluripotency is still unknown. |
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 % |
---|---|---|
United States | 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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 1 | 2% |
Germany | 1 | 2% |
Unknown | 39 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 16 | 39% |
Researcher | 6 | 15% |
Professor > Associate Professor | 4 | 10% |
Student > Master | 4 | 10% |
Professor | 2 | 5% |
Other | 5 | 12% |
Unknown | 4 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 25 | 61% |
Engineering | 3 | 7% |
Biochemistry, Genetics and Molecular Biology | 2 | 5% |
Chemistry | 2 | 5% |
Computer Science | 1 | 2% |
Other | 5 | 12% |
Unknown | 3 | 7% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 24 July 2012.
All research outputs
#15,247,248
of 22,671,366 outputs
Outputs from BMC Systems Biology
#644
of 1,142 outputs
Outputs of similar age
#163,431
of 242,523 outputs
Outputs of similar age from BMC Systems Biology
#32
of 50 outputs
Altmetric has tracked 22,671,366 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 32nd percentile – i.e., 32% of its peers scored the same or lower than it.
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 242,523 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.