↓ Skip to main content

NeuroGeM, a knowledgebase of genetic modifiers in neurodegenerative diseases

Overview of attention for article published in BMC Medical Genomics, November 2013
Altmetric Badge

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
35 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
NeuroGeM, a knowledgebase of genetic modifiers in neurodegenerative diseases
Published in
BMC Medical Genomics, November 2013
DOI 10.1186/1755-8794-6-52
Pubmed ID
Authors

Dokyun Na, Mushfiqur Rouf, Cahir J O’Kane, David C Rubinsztein, Jörg Gsponer

Abstract

Neurodegenerative diseases (NDs) are characterized by the progressive loss of neurons in the human brain. Although the majority of NDs are sporadic, evidence is accumulating that they have a strong genetic component. Therefore, significant efforts have been made in recent years to not only identify disease-causing genes but also genes that modify the severity of NDs, so-called genetic modifiers. To date there exists no compendium that lists and cross-links genetic modifiers of different NDs.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 6%
Germany 1 3%
South Africa 1 3%
Unknown 31 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 26%
Student > Ph. D. Student 7 20%
Student > Master 5 14%
Other 3 9%
Student > Bachelor 2 6%
Other 8 23%
Unknown 1 3%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 37%
Biochemistry, Genetics and Molecular Biology 5 14%
Neuroscience 3 9%
Medicine and Dentistry 3 9%
Computer Science 2 6%
Other 8 23%
Unknown 1 3%

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 16 November 2013.
All research outputs
#11,817,725
of 13,319,761 outputs
Outputs from BMC Medical Genomics
#588
of 671 outputs
Outputs of similar age
#126,249
of 149,653 outputs
Outputs of similar age from BMC Medical Genomics
#22
of 29 outputs
Altmetric has tracked 13,319,761 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 671 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 1st percentile – i.e., 1% 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 149,653 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.