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X Demographics
Mendeley readers
| Title |
Analysis of growth factor signaling in genetically diverse breast cancer lines
|
|---|---|
| Published in |
BMC Biology, March 2014
|
| DOI | 10.1186/1741-7007-12-20 |
| Pubmed ID | |
| Authors |
Mario Niepel, Marc Hafner, Emily A Pace, Mirra Chung, Diana H Chai, Lili Zhou, Jeremy L Muhlich, Birgit Schoeberl, Peter K Sorger |
| Abstract |
Soluble growth factors present in the microenvironment play a major role in tumor development, invasion, metastasis, and responsiveness to targeted therapies. While the biochemistry of growth factor-dependent signal transduction has been studied extensively in individual cell types, relatively little systematic data are available across genetically diverse cell lines. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 20% |
| United States | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 60% |
| Members of the public | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 4% |
| Iran, Islamic Republic of | 1 | <1% |
| Netherlands | 1 | <1% |
| Germany | 1 | <1% |
| Unknown | 103 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 33 | 30% |
| Student > Ph. D. Student | 21 | 19% |
| Student > Master | 12 | 11% |
| Student > Bachelor | 9 | 8% |
| Student > Doctoral Student | 6 | 5% |
| Other | 20 | 18% |
| Unknown | 9 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 38 | 35% |
| Biochemistry, Genetics and Molecular Biology | 25 | 23% |
| Medicine and Dentistry | 8 | 7% |
| Computer Science | 8 | 7% |
| Engineering | 6 | 5% |
| Other | 13 | 12% |
| Unknown | 12 | 11% |