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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Neurocarta: aggregating and sharing disease-gene relations for the neurosciences
|
|---|---|
| Published in |
BMC Genomics, February 2013
|
| DOI | 10.1186/1471-2164-14-129 |
| Pubmed ID | |
| Authors |
Elodie Portales-Casamar, Carolyn Ch’ng, Frances Lui, Nicolas St-Georges, Anton Zoubarev, Artemis Y Lai, Mark Lee, Cathy Kwok, Willie Kwok, Luchia Tseng, Paul Pavlidis |
| Abstract |
Understanding the genetic basis of diseases is key to the development of better diagnoses and treatments. Unfortunately, only a small fraction of the existing data linking genes to phenotypes is available through online public resources and, when available, it is scattered across multiple access tools. |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 30% |
| Australia | 2 | 20% |
| Germany | 1 | 10% |
| Unknown | 4 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 50% |
| Scientists | 4 | 40% |
| Practitioners (doctors, other healthcare professionals) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 3 | 7% |
| United States | 2 | 5% |
| Unknown | 39 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 25% |
| Student > Ph. D. Student | 7 | 16% |
| Student > Bachelor | 4 | 9% |
| Student > Postgraduate | 4 | 9% |
| Student > Doctoral Student | 2 | 5% |
| Other | 9 | 20% |
| Unknown | 7 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 12 | 27% |
| Biochemistry, Genetics and Molecular Biology | 8 | 18% |
| Computer Science | 5 | 11% |
| Medicine and Dentistry | 5 | 11% |
| Neuroscience | 2 | 5% |
| Other | 5 | 11% |
| Unknown | 7 | 16% |
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 02 April 2013.
All research outputs
#5,444,439
of 22,699,621 outputs
Outputs from BMC Genomics
#2,185
of 10,616 outputs
Outputs of similar age
#44,469
of 192,953 outputs
Outputs of similar age from BMC Genomics
#28
of 138 outputs
Altmetric has tracked 22,699,621 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,616 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 79% 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 192,953 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 138 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.