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X Demographics
Mendeley readers
Attention Score in Context
| Title |
An early warning surveillance programme for detecting upper limb deterioration after treatment for breast cancer: A novel technology supported system
|
|---|---|
| Published in |
BMC Cancer, September 2015
|
| DOI | 10.1186/s12885-015-1636-8 |
| Pubmed ID | |
| Authors |
Delva Shamley, Karen Robb |
| Abstract |
Upper limb morbidity is a well-recognised consequence of treatment for breast cancer that can develop for up to 6 years after treatment. However, the capacity to fully integrate evidence-based rehabilitation pathways into routine care for all patients is questionable due to limited resources. A long term surveillance programme must therefore be accessible to all patients, should identify those at risk of developing morbidity and target the interventions at the high risk population of patients. The proposed model uses a surrogate marker for assessing risk of morbidity, incorporated into an Early Warning System (EWS), to produce a technology-lead, prospective surveillance programme. |
X Demographics
The data shown below were collected from the profiles of 11 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 Kingdom | 3 | 27% |
| Canada | 2 | 18% |
| United States | 1 | 9% |
| Unknown | 5 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 45% |
| Scientists | 5 | 45% |
| Practitioners (doctors, other healthcare professionals) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 49 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 18% |
| Student > Master | 6 | 12% |
| Student > Bachelor | 5 | 10% |
| Student > Postgraduate | 3 | 6% |
| Lecturer > Senior Lecturer | 2 | 4% |
| Other | 5 | 10% |
| Unknown | 19 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 13 | 27% |
| Medicine and Dentistry | 6 | 12% |
| Biochemistry, Genetics and Molecular Biology | 2 | 4% |
| Agricultural and Biological Sciences | 2 | 4% |
| Computer Science | 2 | 4% |
| Other | 4 | 8% |
| Unknown | 20 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 24 August 2018.
All research outputs
#5,405,388
of 22,828,180 outputs
Outputs from BMC Cancer
#1,313
of 8,303 outputs
Outputs of similar age
#63,813
of 268,887 outputs
Outputs of similar age from BMC Cancer
#31
of 194 outputs
Altmetric has tracked 22,828,180 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,303 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 84% 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 268,887 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 76% 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 well, scoring higher than 84% of its contemporaries.