You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Potential Targets' Analysis Reveals Dual PI3K/mTOR Pathway Inhibition as a Promising Therapeutic Strategy for Uterine Leiomyosarcomas—an ENITEC Group Initiative
|
|---|---|
| Published in |
Clinical Cancer Research, February 2017
|
| DOI | 10.1158/1078-0432.ccr-16-2149 |
| Pubmed ID | |
| Authors |
Tine Cuppens, Daniela Annibali, An Coosemans, Jone Trovik, Natalja ter Haar, Eva Colas, Angel Garcia-Jimenez, Koen Van de Vijver, Roy P.M. Kruitwagen, Mariël Brinkhuis, Michal Zikan, Pavel Dundr, Jutta Huvila, Olli Carpén, Johannes Haybaeck, Farid Moinfar, Helga B. Salvesen, Maciej Stukan, Carole Mestdagh, Ronald P. Zweemer, Leonardus F. Massuger, Michael R. Mallmann, Eva Wardelmann, Miriam Mints, Godelieve Verbist, Debby Thomas, Ellen Gommé, Els Hermans, Philippe Moerman, Tjalling Bosse, Frédéric Amant |
X Demographics
The data shown below were collected from the profiles of 7 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 | 1 | 14% |
| Spain | 1 | 14% |
| Unknown | 5 | 71% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 86% |
| Practitioners (doctors, other healthcare professionals) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 8 | 20% |
| Researcher | 7 | 18% |
| Student > Master | 6 | 15% |
| Student > Postgraduate | 3 | 8% |
| Student > Bachelor | 3 | 8% |
| Other | 4 | 10% |
| Unknown | 9 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 17 | 43% |
| Biochemistry, Genetics and Molecular Biology | 5 | 13% |
| Agricultural and Biological Sciences | 4 | 10% |
| Immunology and Microbiology | 1 | 3% |
| Unknown | 13 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 49. 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 08 March 2017.
All research outputs
#867,645
of 25,837,817 outputs
Outputs from Clinical Cancer Research
#564
of 13,372 outputs
Outputs of similar age
#17,790
of 326,446 outputs
Outputs of similar age from Clinical Cancer Research
#19
of 194 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,372 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.9. This one has done particularly well, scoring higher than 95% 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 326,446 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 94% of its contemporaries.
We're also able to compare this research output to 194 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 90% of its contemporaries.