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Mendeley readers
Attention Score in Context
| Title |
Glucose lowering effect of transgenic human insulin-like growth factor-I from rice: in vitro and in vivostudies
|
|---|---|
| Published in |
BMC Biotechnology, April 2011
|
| DOI | 10.1186/1472-6750-11-37 |
| Pubmed ID | |
| Authors |
Stanley CK Cheung, Li-zhong Liu, Lin-lin Lan, Qiao-quan Liu, Samuel SM Sun, Juliana CN Chan, Peter CY Tong |
| Abstract |
Human insulin-like growth factor-I (hIGF-I) is a growth factor which is highly resemble to insulin. It is essential for cell proliferation and has been proposed for treatment of various endocrine-associated diseases including growth hormone insensitivity syndrome and diabetes mellitus. In the present study, an efficient plant expression system was developed to produce biologically active recombinant hIGF-I (rhIGF-I) in transgenic rice grains. |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ireland | 1 | 6% |
| Unknown | 16 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 4 | 24% |
| Student > Ph. D. Student | 3 | 18% |
| Researcher | 3 | 18% |
| Student > Master | 2 | 12% |
| Student > Doctoral Student | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 4 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 5 | 29% |
| Medicine and Dentistry | 3 | 18% |
| Chemistry | 2 | 12% |
| Computer Science | 1 | 6% |
| Biochemistry, Genetics and Molecular Biology | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 4 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 24 July 2018.
All research outputs
#4,695,422
of 22,783,848 outputs
Outputs from BMC Biotechnology
#260
of 935 outputs
Outputs of similar age
#23,562
of 108,999 outputs
Outputs of similar age from BMC Biotechnology
#4
of 16 outputs
Altmetric has tracked 22,783,848 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
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 65% 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 108,999 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 16 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 56% of its contemporaries.