| Title |
Development and validation of a prognostic model to predict the prognosis of patients who underwent chemotherapy and resection of pancreatic adenocarcinoma: a large international population-based cohort study
|
|---|---|
| Published in |
BMC Medicine, March 2019
|
| DOI | 10.1186/s12916-019-1304-y |
| Pubmed ID | |
| Authors |
Lei Huang, Yesilda Balavarca, Lydia van der Geest, Valery Lemmens, Liesbet Van Eycken, Harlinde De Schutter, Tom B. Johannesen, Vesna Zadnik, Maja Primic-Žakelj, Margit Mägi, Robert Grützmann, Marc G. Besselink, Petra Schrotz-King, Hermann Brenner, Lina Jansen |
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 States | 3 | 60% |
| Netherlands | 1 | 20% |
| United Kingdom | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 2 | 40% |
| Scientists | 2 | 40% |
| Members of the public | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 23% |
| Student > Bachelor | 4 | 9% |
| Student > Ph. D. Student | 4 | 9% |
| Other | 3 | 7% |
| Student > Master | 3 | 7% |
| Other | 9 | 21% |
| Unknown | 10 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 18 | 42% |
| Nursing and Health Professions | 3 | 7% |
| Unspecified | 2 | 5% |
| Engineering | 2 | 5% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Other | 4 | 9% |
| Unknown | 13 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 10 June 2019.
All research outputs
#14,671,229
of 24,998,746 outputs
Outputs from BMC Medicine
#3,124
of 3,910 outputs
Outputs of similar age
#181,345
of 357,590 outputs
Outputs of similar age from BMC Medicine
#55
of 64 outputs
Altmetric has tracked 24,998,746 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,910 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.3. This one is in the 19th percentile – i.e., 19% 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 357,590 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.