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Mendeley readers
Attention Score in Context
| Title |
The Missing lnc(RNA) between the pancreatic β-cell and diabetes
|
|---|---|
| Published in |
Frontiers in Genetics, July 2014
|
| DOI | 10.3389/fgene.2014.00200 |
| Pubmed ID | |
| Authors |
Vasumathi Kameswaran, Klaus H Kaestner |
| Abstract |
Diabetes mellitus represents a group of complex metabolic diseases that result in impaired glucose homeostasis, which includes destruction of β-cells or the failure of these insulin-secreting cells to compensate for increased metabolic demand. Despite a strong interest in characterizing the transcriptome of the different human islet cell types to understand the molecular basis of diabetes, very little attention has been paid to the role of long non-coding RNAs (lncRNAs) and their contribution to this disease. Here we summarize the growing evidence for the potential role of these lncRNAs in β-cell function and dysregulation in diabetes, with a focus on imprinted genomic loci. |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 3 | 43% |
| United Kingdom | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 71% |
| Scientists | 2 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | <1% |
| France | 1 | <1% |
| Unknown | 99 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 19% |
| Student > Bachelor | 18 | 18% |
| Researcher | 15 | 15% |
| Student > Master | 13 | 13% |
| Other | 6 | 6% |
| Other | 18 | 18% |
| Unknown | 12 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 35 | 35% |
| Agricultural and Biological Sciences | 32 | 32% |
| Medicine and Dentistry | 11 | 11% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 2% |
| Nursing and Health Professions | 2 | 2% |
| Other | 4 | 4% |
| Unknown | 15 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 12 March 2015.
All research outputs
#6,030,925
of 22,759,618 outputs
Outputs from Frontiers in Genetics
#1,714
of 11,758 outputs
Outputs of similar age
#56,903
of 227,590 outputs
Outputs of similar age from Frontiers in Genetics
#28
of 128 outputs
Altmetric has tracked 22,759,618 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 11,758 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 85% 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 has gotten more attention than average, scoring higher than 74% of its contemporaries.
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 has done well, scoring higher than 76% of its contemporaries.