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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Roles of lncRNAs in pancreatic beta cell identity and diabetes susceptibility
|
|---|---|
| Published in |
Frontiers in Genetics, July 2014
|
| DOI | 10.3389/fgene.2014.00193 |
| Pubmed ID | |
| Authors |
Timothy J Pullen, Guy A Rutter |
| Abstract |
Type 2 diabetes usually ensues from the inability of pancreatic beta cells to compensate for incipient insulin resistance. The loss of beta cell mass, function, and potentially beta cell identity contribute to this dysfunction to extents which are debated. In recent years, long non-coding RNAs (lncRNAs) have emerged as potentially providing a novel level of gene regulation implicating critical cellular processes such as pluripotency and differentiation. With over 1000 lncRNAs now identified in beta cells, there is growing evidence for their involvement in the above processes in these cells. While functional evidence on individual islet lncRNAs is still scarce, we discuss how lncRNAs could contribute to type 2 diabetes susceptibility, particularly at loci identified through genome-wide association studies as affecting disease risk. |
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 % |
|---|---|---|
| France | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 2% |
| Unknown | 46 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 19% |
| Researcher | 9 | 19% |
| Student > Bachelor | 8 | 17% |
| Professor > Associate Professor | 4 | 9% |
| Student > Master | 3 | 6% |
| Other | 7 | 15% |
| Unknown | 7 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 15 | 32% |
| Agricultural and Biological Sciences | 11 | 23% |
| Medicine and Dentistry | 4 | 9% |
| Computer Science | 3 | 6% |
| Veterinary Science and Veterinary Medicine | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 10 | 21% |
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 01 July 2014.
All research outputs
#14,782,376
of 22,758,248 outputs
Outputs from Frontiers in Genetics
#4,464
of 11,758 outputs
Outputs of similar age
#126,861
of 227,590 outputs
Outputs of similar age from Frontiers in Genetics
#87
of 128 outputs
Altmetric has tracked 22,758,248 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 11,758 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 54% 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 227,590 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 128 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.