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Mendeley readers
Attention Score in Context
Title |
Can we use the pharmacy data to estimate the prevalence of chronic conditions? a comparison of multiple data sources
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Published in |
BMC Public Health, September 2011
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DOI | 10.1186/1471-2458-11-688 |
Pubmed ID | |
Authors |
Francesco Chini, Patrizio Pezzotti, Letizia Orzella, Piero Borgia, Gabriella Guasticchi |
Abstract |
The estimate of the prevalence of the most common chronic conditions (CCs) is calculated using direct methods such as prevalence surveys but also indirect methods using health administrative databases.The aim of this study is to provide estimates prevalence of CCs in Lazio region of Italy (including Rome), using the drug prescription's database and to compare these estimates with those obtained using other health administrative databases. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Australia | 1 | 33% |
United Kingdom | 1 | 33% |
United States | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 1% |
Ireland | 1 | 1% |
Austria | 1 | 1% |
Australia | 1 | 1% |
Unknown | 78 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 15 | 18% |
Student > Ph. D. Student | 14 | 17% |
Student > Master | 13 | 16% |
Student > Bachelor | 5 | 6% |
Lecturer | 4 | 5% |
Other | 16 | 20% |
Unknown | 15 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 24 | 29% |
Nursing and Health Professions | 6 | 7% |
Social Sciences | 5 | 6% |
Agricultural and Biological Sciences | 4 | 5% |
Economics, Econometrics and Finance | 4 | 5% |
Other | 19 | 23% |
Unknown | 20 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 01 June 2023.
All research outputs
#6,227,115
of 23,917,011 outputs
Outputs from BMC Public Health
#6,374
of 15,537 outputs
Outputs of similar age
#34,935
of 127,742 outputs
Outputs of similar age from BMC Public Health
#72
of 215 outputs
Altmetric has tracked 23,917,011 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 15,537 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.3. This one has gotten more attention than average, scoring higher than 58% 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 127,742 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 215 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 65% of its contemporaries.