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X Demographics
Mendeley readers
Attention Score in Context
| Title |
MUC1 and HIF-1alpha Signaling Crosstalk Induces Anabolic Glucose Metabolism to Impart Gemcitabine Resistance to Pancreatic Cancer
|
|---|---|
| Published in |
Cancer Cell, September 2017
|
| DOI | 10.1016/j.ccell.2017.08.008 |
| Pubmed ID | |
| Authors |
Surendra K. Shukla, Vinee Purohit, Kamiya Mehla, Venugopal Gunda, Nina V. Chaika, Enza Vernucci, Ryan J. King, Jaime Abrego, Gennifer D. Goode, Aneesha Dasgupta, Alysha L. Illies, Teklab Gebregiworgis, Bingbing Dai, Jithesh J. Augustine, Divya Murthy, Kuldeep S. Attri, Oksana Mashadova, Paul M. Grandgenett, Robert Powers, Quan P. Ly, Audrey J. Lazenby, Jean L. Grem, Fang Yu, José M. Matés, John M. Asara, Jung-whan Kim, Jordan H. Hankins, Colin Weekes, Michael A. Hollingsworth, Natalie J. Serkova, Aaron R. Sasson, Jason B. Fleming, Jennifer M. Oliveto, Costas A. Lyssiotis, Lewis C. Cantley, Lyudmyla Berim, Pankaj K. Singh |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Lebanon | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 45 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 22% |
| Professor | 6 | 13% |
| Researcher | 4 | 9% |
| Student > Bachelor | 3 | 7% |
| Student > Doctoral Student | 2 | 4% |
| Other | 7 | 16% |
| Unknown | 13 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 14 | 31% |
| Medicine and Dentistry | 7 | 16% |
| Chemistry | 3 | 7% |
| Unspecified | 2 | 4% |
| Computer Science | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 15 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 September 2017.
All research outputs
#19,951,180
of 25,382,440 outputs
Outputs from Cancer Cell
#3,031
of 3,149 outputs
Outputs of similar age
#236,644
of 324,453 outputs
Outputs of similar age from Cancer Cell
#40
of 41 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,149 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 37.3. This one is in the 3rd percentile – i.e., 3% 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 324,453 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.