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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Engineering an L-cell line that expresses insulin under the control of the glucagon-like peptide-1 promoter for diabetes treatment
|
|---|---|
| Published in |
BMC Biotechnology, November 2011
|
| DOI | 10.1186/1472-6750-11-99 |
| Pubmed ID | |
| Authors |
Mina Rasouli, Zalinah Ahmad, Abdul Rahman Omar, Zeenathul N Allaudin |
| Abstract |
Diabetes mellitus is a complicated disease with a pathophysiology that includes hyperinsulinemia, hyperglycemia and other metabolic impairments leading to many clinical complications. It is necessary to develop appropriate treatments to manage the disease and reduce possible acute and chronic side effects. The advent of gene therapy has generated excitement in the medical world for the possible application of gene therapy in the treatment of diabetes. The glucagon-like peptide-1 (GLP-1) promoter, which is recognised by gut L-cells, is an appealing candidate for gene therapy purposes. The specific properties of L-cells suggest that L-cells and the GLP-1 promoter would be useful for diabetes therapy approaches. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 1 | 3% |
| United Kingdom | 1 | 3% |
| United States | 1 | 3% |
| Brazil | 1 | 3% |
| Unknown | 31 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 23% |
| Student > Bachelor | 6 | 17% |
| Student > Ph. D. Student | 5 | 14% |
| Student > Doctoral Student | 3 | 9% |
| Student > Postgraduate | 3 | 9% |
| Other | 2 | 6% |
| Unknown | 8 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 10 | 29% |
| Biochemistry, Genetics and Molecular Biology | 9 | 26% |
| Medicine and Dentistry | 6 | 17% |
| Unspecified | 1 | 3% |
| Engineering | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 8 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 26 February 2014.
All research outputs
#6,376,108
of 22,656,971 outputs
Outputs from BMC Biotechnology
#360
of 935 outputs
Outputs of similar age
#39,291
of 141,801 outputs
Outputs of similar age from BMC Biotechnology
#8
of 19 outputs
Altmetric has tracked 22,656,971 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 935 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has gotten more attention than average, scoring higher than 59% 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 141,801 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 70% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.