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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Surveying alcohol and other drug use through telephone sampling: a comparison of landline and mobile phone samples
|
|---|---|
| Published in |
BMC Medical Research Methodology, March 2013
|
| DOI | 10.1186/1471-2288-13-41 |
| Pubmed ID | |
| Authors |
Michael Livingston, Paul Dietze, Jason Ferris, Darren Pennay, Linda Hayes, Simon Lenton |
| Abstract |
Telephone surveys based on samples of landline telephone numbers are widely used to measure the prevalence of health risk behaviours such as smoking, drug use and alcohol consumption. An increasing number of households are relying solely on mobile telephones, creating a potential bias for population estimates derived from landline-based sampling frames which do not incorporate mobile phone numbers. Studies in the US have identified significant differences between landline and mobile telephone users in smoking and alcohol consumption, but there has been little work in other settings or focussed on illicit drugs. |
X Demographics
The data shown below were collected from the profiles of 7 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 | 2 | 29% |
| United States | 2 | 29% |
| Switzerland | 1 | 14% |
| Unknown | 2 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 86% |
| Practitioners (doctors, other healthcare professionals) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Romania | 1 | 2% |
| Australia | 1 | 2% |
| Unknown | 60 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 19% |
| Student > Bachelor | 10 | 16% |
| Student > Ph. D. Student | 10 | 16% |
| Other | 8 | 13% |
| Student > Master | 7 | 11% |
| Other | 6 | 10% |
| Unknown | 9 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 19 | 31% |
| Social Sciences | 9 | 15% |
| Psychology | 5 | 8% |
| Computer Science | 3 | 5% |
| Arts and Humanities | 3 | 5% |
| Other | 10 | 16% |
| Unknown | 13 | 21% |
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 16 August 2013.
All research outputs
#7,653,889
of 23,302,246 outputs
Outputs from BMC Medical Research Methodology
#1,121
of 2,054 outputs
Outputs of similar age
#66,275
of 197,985 outputs
Outputs of similar age from BMC Medical Research Methodology
#16
of 33 outputs
Altmetric has tracked 23,302,246 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,054 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one is in the 43rd percentile – i.e., 43% 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 197,985 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.