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Mendeley readers
Attention Score in Context
| Title |
Analysis of coding variants in the betacellulin gene in type 2 diabetes and insulin secretion in African American subjects
|
|---|---|
| Published in |
BMC Medical Genomics, July 2006
|
| DOI | 10.1186/1471-2350-7-62 |
| Pubmed ID | |
| Authors |
Steven C Elbein, Xiaoqin Wang, Mohammad A Karim, Winston S Chu, Kristi D Silver |
| Abstract |
Betacellulin is a member of the epidermal growth factor family, expressed at the highest levels predominantly in the pancreas and thought to be involved in islet neogenesis and regeneration. Nonsynonymous coding variants were reported to be associated with type 2 diabetes in African American subjects. We tested the hypotheses that these previously identified variants were associated with type 2 diabetes in African Americans ascertained in Arkansas and that they altered insulin secretion in glucose tolerant African American subjects. |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 25% |
| Student > Ph. D. Student | 2 | 25% |
| Student > Doctoral Student | 1 | 13% |
| Professor > Associate Professor | 1 | 13% |
| Student > Postgraduate | 1 | 13% |
| Other | 0 | 0% |
| Unknown | 1 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 2 | 25% |
| Agricultural and Biological Sciences | 1 | 13% |
| Sports and Recreations | 1 | 13% |
| Engineering | 1 | 13% |
| Unknown | 3 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 November 2017.
All research outputs
#8,535,684
of 25,374,917 outputs
Outputs from BMC Medical Genomics
#637
of 2,444 outputs
Outputs of similar age
#30,545
of 90,143 outputs
Outputs of similar age from BMC Medical Genomics
#1
of 4 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,444 research outputs from this source. They receive a mean Attention Score of 4.4. 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 90,143 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them