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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A cohort study of a tailored web intervention for preconception care
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, April 2014
|
| DOI | 10.1186/1472-6947-14-33 |
| Pubmed ID | |
| Authors |
Eleonora Agricola, Elisabetta Pandolfi, Michaela V Gonfiantini, Francesco Gesualdo, Mariateresa Romano, Emanuela Carloni, Pierpaolo Mastroiacovo, Alberto E Tozzi |
| Abstract |
Preconception care may be an efficacious tool to reduce risk factors for adverse pregnancy outcomes that are associated with lifestyles and health status before pregnancy. We conducted a web-based cohort study in Italian women planning a pregnancy to assess whether a tailored web intervention may change knowledge and behaviours associated with risks for adverse pregnancy outcomes. |
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 % |
|---|---|---|
| India | 2 | 67% |
| Italy | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 173 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 2% |
| Unknown | 170 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 26 | 15% |
| Student > Ph. D. Student | 25 | 14% |
| Researcher | 18 | 10% |
| Student > Bachelor | 17 | 10% |
| Student > Postgraduate | 9 | 5% |
| Other | 38 | 22% |
| Unknown | 40 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 46 | 27% |
| Nursing and Health Professions | 24 | 14% |
| Psychology | 16 | 9% |
| Social Sciences | 15 | 9% |
| Agricultural and Biological Sciences | 5 | 3% |
| Other | 21 | 12% |
| Unknown | 46 | 27% |
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 19 April 2014.
All research outputs
#14,194,875
of 22,753,345 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,100
of 1,985 outputs
Outputs of similar age
#120,140
of 226,666 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#15
of 28 outputs
Altmetric has tracked 22,753,345 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,985 research outputs from this source. They receive a mean Attention Score of 4.9. 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 226,666 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.