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X Demographics
Mendeley readers
Attention Score in Context
Title |
Identification of novel targets for breast cancer by exploring gene switches on a genome scale
|
---|---|
Published in |
BMC Genomics, November 2011
|
DOI | 10.1186/1471-2164-12-547 |
Pubmed ID | |
Authors |
Ming Wu, Li Liu, Christina Chan |
Abstract |
An important feature that emerges from analyzing gene regulatory networks is the "switch-like behavior" or "bistability", a dynamic feature of a particular gene to preferentially toggle between two steady-states. The state of gene switches plays pivotal roles in cell fate decision, but identifying switches has been difficult. Therefore a challenge confronting the field is to be able to systematically identify gene switches. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 4% |
United Kingdom | 1 | 2% |
Italy | 1 | 2% |
Taiwan | 1 | 2% |
Unknown | 43 | 90% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 11 | 23% |
Researcher | 8 | 17% |
Student > Bachelor | 4 | 8% |
Student > Postgraduate | 4 | 8% |
Student > Master | 4 | 8% |
Other | 8 | 17% |
Unknown | 9 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 14 | 29% |
Biochemistry, Genetics and Molecular Biology | 10 | 21% |
Medicine and Dentistry | 5 | 10% |
Engineering | 3 | 6% |
Nursing and Health Professions | 1 | 2% |
Other | 6 | 13% |
Unknown | 9 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 2011.
All research outputs
#14,139,782
of 22,656,971 outputs
Outputs from BMC Genomics
#5,673
of 10,607 outputs
Outputs of similar age
#90,714
of 141,801 outputs
Outputs of similar age from BMC Genomics
#57
of 104 outputs
Altmetric has tracked 22,656,971 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,607 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 42nd percentile – i.e., 42% 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 141,801 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 104 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.