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X Demographics
Mendeley readers
Attention Score in Context
| Title |
pERK, pAKT and p53 as tissue biomarkers in erlotinib-treated patients with advanced pancreatic cancer: a translational subgroup analysis from AIO-PK0104
|
|---|---|
| Published in |
BMC Cancer, August 2014
|
| DOI | 10.1186/1471-2407-14-624 |
| Pubmed ID | |
| Authors |
Steffen Ormanns, Jens T Siveke, Volker Heinemann, Michael Haas, Bence Sipos, Anna Melissa Schlitter, Irene Esposito, Andreas Jung, Rüdiger P Laubender, Stephan Kruger, Ursula Vehling-Kaiser, Cornelia Winkelmann, Ludwig Fischer von Weikersthal, Michael R Clemens, Thomas C Gauler, Angela Märten, Michael Geissler, Tim F Greten, Thomas Kirchner, Stefan Boeck |
| Abstract |
The role of pERK, pAKT and p53 as biomarkers in patients with advanced pancreatic cancer has not yet been defined. |
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 % |
|---|---|---|
| United States | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
| Scientists | 1 | 33% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 3 | 10% |
| Student > Postgraduate | 3 | 10% |
| Student > Ph. D. Student | 3 | 10% |
| Student > Master | 2 | 7% |
| Researcher | 2 | 7% |
| Other | 5 | 17% |
| Unknown | 12 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 30% |
| Biochemistry, Genetics and Molecular Biology | 8 | 27% |
| Computer Science | 1 | 3% |
| Nursing and Health Professions | 1 | 3% |
| Unknown | 11 | 37% |
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 07 June 2016.
All research outputs
#13,411,842
of 22,761,738 outputs
Outputs from BMC Cancer
#2,968
of 8,277 outputs
Outputs of similar age
#111,890
of 236,621 outputs
Outputs of similar age from BMC Cancer
#50
of 157 outputs
Altmetric has tracked 22,761,738 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,277 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 62% 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 236,621 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 157 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.