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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Web-based information for pregnant women and new mothers with type 1 diabetes- a description of the development process
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, November 2012
|
| DOI | 10.1186/1472-6947-12-134 |
| Pubmed ID | |
| Authors |
Karolina Linden, Marie Berg, Carina Sparud-Lundin |
| Abstract |
This paper describes the process of developing specifically designed web-based maternity information for women with type 1 diabetes. |
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% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 51 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 11 | 22% |
| Student > Ph. D. Student | 6 | 12% |
| Researcher | 5 | 10% |
| Student > Doctoral Student | 4 | 8% |
| Student > Postgraduate | 4 | 8% |
| Other | 8 | 16% |
| Unknown | 13 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 14 | 27% |
| Medicine and Dentistry | 6 | 12% |
| Computer Science | 4 | 8% |
| Psychology | 3 | 6% |
| Design | 3 | 6% |
| Other | 5 | 10% |
| Unknown | 16 | 31% |
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 06 September 2013.
All research outputs
#14,738,780
of 22,687,320 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,225
of 1,979 outputs
Outputs of similar age
#172,282
of 275,819 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#27
of 39 outputs
Altmetric has tracked 22,687,320 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,979 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 34th percentile – i.e., 34% 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 275,819 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.