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Mendeley readers
Attention Score in Context
| Title |
Gene function in early mouse embryonic stem cell differentiation
|
|---|---|
| Published in |
BMC Genomics, March 2007
|
| DOI | 10.1186/1471-2164-8-85 |
| Pubmed ID | |
| Authors |
Kagnew Hailesellasse Sene, Christopher J Porter, Gareth Palidwor, Carolina Perez-Iratxeta, Enrique M Muro, Pearl A Campbell, Michael A Rudnicki, Miguel A Andrade-Navarro |
| Abstract |
Little is known about the genes that drive embryonic stem cell differentiation. However, such knowledge is necessary if we are to exploit the therapeutic potential of stem cells. To uncover the genetic determinants of mouse embryonic stem cell (mESC) differentiation, we have generated and analyzed 11-point time-series of DNA microarray data for three biologically equivalent but genetically distinct mESC lines (R1, J1, and V6.5) undergoing undirected differentiation into embryoid bodies (EBs) over a period of two weeks. |
Mendeley readers
The data shown below were compiled from readership statistics for 141 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 5% |
| Germany | 2 | 1% |
| United Kingdom | 2 | 1% |
| Austria | 1 | <1% |
| Slovenia | 1 | <1% |
| Sweden | 1 | <1% |
| Japan | 1 | <1% |
| China | 1 | <1% |
| Unknown | 125 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 41 | 29% |
| Researcher | 34 | 24% |
| Professor > Associate Professor | 12 | 9% |
| Student > Master | 12 | 9% |
| Student > Postgraduate | 9 | 6% |
| Other | 21 | 15% |
| Unknown | 12 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 70 | 50% |
| Biochemistry, Genetics and Molecular Biology | 25 | 18% |
| Medicine and Dentistry | 12 | 9% |
| Computer Science | 5 | 4% |
| Neuroscience | 4 | 3% |
| Other | 10 | 7% |
| Unknown | 15 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 14 July 2018.
All research outputs
#7,454,066
of 22,788,370 outputs
Outputs from BMC Genomics
#3,597
of 10,647 outputs
Outputs of similar age
#27,126
of 76,834 outputs
Outputs of similar age from BMC Genomics
#5
of 9 outputs
Altmetric has tracked 22,788,370 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,647 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 59% 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 76,834 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.