Title |
Self‐monitoring of blood glucose in patients with type 2 diabetes mellitus who are not using insulin
|
---|---|
Published in |
Cochrane database of systematic reviews, January 2012
|
DOI | 10.1002/14651858.cd005060.pub3 |
Pubmed ID | |
Authors |
Uriëll L Malanda, Laura MC Welschen, Ingrid I Riphagen, Jacqueline M Dekker, Giel Nijpels, Sandra DM Bot |
Abstract |
Self-monitoring of blood glucose (SMBG) has been found to be effective for patients with type 1 diabetes and for patients with type 2 diabetes using insulin. There is much debate on the effectiveness of SMBG as a tool in the self-management for patients with type 2 diabetes who are not using insulin. |
X Demographics
The data shown below were collected from the profiles of 28 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 States | 5 | 18% |
Spain | 5 | 18% |
Canada | 4 | 14% |
United Kingdom | 3 | 11% |
Ecuador | 1 | 4% |
Unknown | 10 | 36% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 16 | 57% |
Practitioners (doctors, other healthcare professionals) | 7 | 25% |
Scientists | 4 | 14% |
Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 2% |
Spain | 1 | 2% |
United States | 1 | 2% |
Unknown | 53 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 9% |
Researcher | 4 | 7% |
Student > Bachelor | 3 | 5% |
Professor | 3 | 5% |
Student > Doctoral Student | 2 | 4% |
Other | 4 | 7% |
Unknown | 35 | 63% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 18 | 32% |
Mathematics | 1 | 2% |
Agricultural and Biological Sciences | 1 | 2% |
Computer Science | 1 | 2% |
Unknown | 35 | 63% |
Attention Score in Context
This research output has an Altmetric Attention Score of 80. 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 09 December 2023.
All research outputs
#538,273
of 25,457,297 outputs
Outputs from Cochrane database of systematic reviews
#951
of 11,499 outputs
Outputs of similar age
#2,950
of 251,889 outputs
Outputs of similar age from Cochrane database of systematic reviews
#11
of 227 outputs
Altmetric has tracked 25,457,297 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,499 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 40.0. This one has done particularly well, scoring higher than 92% 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 251,889 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 227 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.