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Twitter Demographics
Mendeley readers
Attention Score in Context
| Title |
Impact of unlinked deaths and coding changes on mortality trends in the Swiss National Cohort
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, January 2013
|
| DOI | 10.1186/1472-6947-13-1 |
| Pubmed ID | |
| Authors |
Kurt Schmidlin, Kerri M Clough-Gorr, Adrian Spoerri, Matthias Egger, Marcel Zwahlen |
| Abstract |
Results of epidemiological studies linking census with mortality records may be affected by unlinked deaths and changes in cause of death classification. We examined these issues in the Swiss National Cohort (SNC). |
Twitter Demographics
The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
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 % |
|---|---|---|
| Switzerland | 2 | 4% |
| Portugal | 1 | 2% |
| Unknown | 46 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 31% |
| Other | 5 | 10% |
| Student > Ph. D. Student | 4 | 8% |
| Student > Bachelor | 4 | 8% |
| Student > Master | 4 | 8% |
| Other | 9 | 18% |
| Unknown | 8 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 22 | 45% |
| Psychology | 4 | 8% |
| Social Sciences | 3 | 6% |
| Mathematics | 2 | 4% |
| Nursing and Health Professions | 2 | 4% |
| Other | 5 | 10% |
| Unknown | 11 | 22% |
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 04 January 2013.
All research outputs
#18,325,190
of 22,691,736 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,563
of 1,980 outputs
Outputs of similar age
#217,933
of 280,650 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#42
of 42 outputs
Altmetric has tracked 22,691,736 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,980 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 9th percentile – i.e., 9% 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 280,650 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.