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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Can network biology unravel the aetiology of congenital hyperinsulinism?
|
|---|---|
| Published in |
Orphanet Journal of Rare Diseases, February 2013
|
| DOI | 10.1186/1750-1172-8-21 |
| Pubmed ID | |
| Authors |
Adam Stevens, Karen E Cosgrove, Raja Padidela, Mars S Skae, Peter E Clayton, Indraneel Banerjee, Mark J Dunne |
| Abstract |
Congenital Hyperinsulinism is a condition with a number of genetic causes, but for the majority of patients, the underlying aetiology is unknown. We present here a rational argument for the use of computational biology as a valuable resource for identifying new candidate genes which may cause disease and for understanding the complex mechanisms which define the pathophysiology of this rare disease. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 4% |
| Unknown | 26 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 22% |
| Student > Postgraduate | 3 | 11% |
| Student > Ph. D. Student | 3 | 11% |
| Student > Doctoral Student | 3 | 11% |
| Researcher | 2 | 7% |
| Other | 7 | 26% |
| Unknown | 3 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 10 | 37% |
| Biochemistry, Genetics and Molecular Biology | 6 | 22% |
| Medicine and Dentistry | 6 | 22% |
| Nursing and Health Professions | 1 | 4% |
| Unknown | 4 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 17 February 2013.
All research outputs
#15,263,666
of 22,696,971 outputs
Outputs from Orphanet Journal of Rare Diseases
#1,776
of 2,600 outputs
Outputs of similar age
#183,096
of 284,066 outputs
Outputs of similar age from Orphanet Journal of Rare Diseases
#71
of 94 outputs
Altmetric has tracked 22,696,971 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,600 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one is in the 23rd percentile – i.e., 23% of its peers scored the same or lower than it.
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 284,066 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 94 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.