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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Temporal representation of care trajectories of cancer patients using data from a regional information system: an application in breast cancer
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, April 2014
|
| DOI | 10.1186/1472-6947-14-24 |
| Pubmed ID | |
| Authors |
Gautier Defossez, Alexandre Rollet, Olivier Dameron, Pierre Ingrand |
| Abstract |
Ensuring that all cancer patients have access to the appropriate treatment within an appropriate time is a strategic priority in many countries. There is in particular a need to describe and analyse cancer care trajectories and to produce waiting time indicators. We developed an algorithm for extracting temporally represented care trajectories from coded information collected routinely by the general cancer Registry in Poitou-Charentes region, France. The present work aimed to assess the performance of this algorithm on real-life patient data in the setting of non-metastatic breast cancer, using measures of similarity. |
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 % |
|---|---|---|
| India | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 4% |
| Brazil | 1 | 1% |
| France | 1 | 1% |
| Canada | 1 | 1% |
| United Kingdom | 1 | 1% |
| Unknown | 78 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 19% |
| Student > Master | 14 | 16% |
| Researcher | 12 | 14% |
| Other | 6 | 7% |
| Student > Bachelor | 6 | 7% |
| Other | 24 | 28% |
| Unknown | 7 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 18 | 21% |
| Engineering | 11 | 13% |
| Computer Science | 11 | 13% |
| Nursing and Health Professions | 7 | 8% |
| Business, Management and Accounting | 5 | 6% |
| Other | 21 | 25% |
| Unknown | 12 | 14% |
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 09 April 2014.
All research outputs
#15,268,318
of 24,226,848 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,150
of 2,065 outputs
Outputs of similar age
#123,377
of 229,996 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#16
of 29 outputs
Altmetric has tracked 24,226,848 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,065 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 38th percentile – i.e., 38% 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 229,996 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.