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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A deterministic map of Waddington's epigenetic landscape for cell fate specification
|
|---|---|
| Published in |
BMC Systems Biology, May 2011
|
| DOI | 10.1186/1752-0509-5-85 |
| Pubmed ID | |
| Authors |
Sudin Bhattacharya, Qiang Zhang, Melvin E Andersen |
| Abstract |
The image of the "epigenetic landscape", with a series of branching valleys and ridges depicting stable cellular states and the barriers between those states, has been a popular visual metaphor for cell lineage specification - especially in light of the recent discovery that terminally differentiated adult cells can be reprogrammed into pluripotent stem cells or into alternative cell lineages. However the question of whether the epigenetic landscape can be mapped out quantitatively to provide a predictive model of cellular differentiation remains largely unanswered. |
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 276 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 2% |
| Mexico | 3 | 1% |
| United Kingdom | 3 | 1% |
| Germany | 2 | <1% |
| Colombia | 2 | <1% |
| Hungary | 1 | <1% |
| France | 1 | <1% |
| Portugal | 1 | <1% |
| Denmark | 1 | <1% |
| Other | 3 | 1% |
| Unknown | 254 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 67 | 24% |
| Researcher | 66 | 24% |
| Student > Master | 31 | 11% |
| Student > Bachelor | 30 | 11% |
| Professor > Associate Professor | 13 | 5% |
| Other | 36 | 13% |
| Unknown | 33 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 104 | 38% |
| Biochemistry, Genetics and Molecular Biology | 50 | 18% |
| Physics and Astronomy | 20 | 7% |
| Mathematics | 15 | 5% |
| Medicine and Dentistry | 13 | 5% |
| Other | 38 | 14% |
| Unknown | 36 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 20 November 2023.
All research outputs
#2,107,803
of 25,371,288 outputs
Outputs from BMC Systems Biology
#35
of 1,132 outputs
Outputs of similar age
#9,307
of 123,315 outputs
Outputs of similar age from BMC Systems Biology
#2
of 33 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,132 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 96% 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 123,315 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 92% 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 particularly well, scoring higher than 93% of its contemporaries.