| Title |
Applying Data Science methods and tools to unveil healthcare use of lung cancer patients in a teaching hospital in Spain
|
|---|---|
| Published in |
Clinical and Translational Oncology, March 2019
|
| DOI | 10.1007/s12094-019-02074-2 |
| Pubmed ID | |
| Authors |
J. L. Cruz-Bermúdez, C. Parejo, F. Martínez-Ruíz, J. C. Sánchez-González, A. Ramos Martín-Vegue, A. Royuela, A. Rodríguez-González, E. Menasalvas-Ruiz, M. Provencio |
X Demographics
The data shown below were collected from the profiles of 32 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 7 | 22% |
| United States | 4 | 13% |
| India | 3 | 9% |
| Singapore | 1 | 3% |
| Greece | 1 | 3% |
| Switzerland | 1 | 3% |
| Unknown | 15 | 47% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 21 | 66% |
| Practitioners (doctors, other healthcare professionals) | 5 | 16% |
| Scientists | 4 | 13% |
| Science communicators (journalists, bloggers, editors) | 2 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 42 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 19% |
| Student > Master | 4 | 10% |
| Student > Bachelor | 3 | 7% |
| Student > Ph. D. Student | 3 | 7% |
| Lecturer | 3 | 7% |
| Other | 6 | 14% |
| Unknown | 15 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 8 | 19% |
| Medicine and Dentistry | 7 | 17% |
| Nursing and Health Professions | 3 | 7% |
| Social Sciences | 2 | 5% |
| Psychology | 2 | 5% |
| Other | 4 | 10% |
| Unknown | 16 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 21. 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 05 July 2019.
All research outputs
#1,848,638
of 25,888,937 outputs
Outputs from Clinical and Translational Oncology
#52
of 1,484 outputs
Outputs of similar age
#41,128
of 366,975 outputs
Outputs of similar age from Clinical and Translational Oncology
#3
of 34 outputs
Altmetric has tracked 25,888,937 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,484 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done particularly well, scoring higher than 96% 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 366,975 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 34 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 91% of its contemporaries.