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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Proteome mapping of epidermal growth factor induced hepatocellular carcinomas identifies novel cell metabolism targets and mitogen activated protein kinase signalling events
|
|---|---|
| Published in |
BMC Genomics, February 2015
|
| DOI | 10.1186/s12864-015-1312-z |
| Pubmed ID | |
| Authors |
Jürgen Borlak, Prashant Singh, Giuseppe Gazzana |
| Abstract |
Hepatocellular carcinoma (HCC) is on the rise and the sixth most common cancer worldwide. To combat HCC effectively research is directed towards its early detection and the development of targeted therapies. Given the fact that epidermal growth factor (EGF) is an important mitogen for hepatocytes we searched for disease regulated proteins to improve an understanding of the molecular pathogenesis of EGF induced HCC. Disease regulated proteins were studied by 2DE MALDI-TOF/TOF and a transcriptomic approach, by immunohistochemistry and advanced bioinformatics. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Chile | 1 | 4% |
| United States | 1 | 4% |
| Portugal | 1 | 4% |
| Germany | 1 | 4% |
| Unknown | 22 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 23% |
| Student > Master | 4 | 15% |
| Student > Doctoral Student | 4 | 15% |
| Student > Bachelor | 3 | 12% |
| Professor > Associate Professor | 2 | 8% |
| Other | 6 | 23% |
| Unknown | 1 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 7 | 27% |
| Medicine and Dentistry | 4 | 15% |
| Biochemistry, Genetics and Molecular Biology | 4 | 15% |
| Computer Science | 2 | 8% |
| Engineering | 2 | 8% |
| Other | 5 | 19% |
| Unknown | 2 | 8% |
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 01 October 2015.
All research outputs
#14,219,838
of 22,796,179 outputs
Outputs from BMC Genomics
#5,699
of 10,648 outputs
Outputs of similar age
#133,823
of 255,481 outputs
Outputs of similar age from BMC Genomics
#151
of 279 outputs
Altmetric has tracked 22,796,179 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 10,648 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 255,481 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 279 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.