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X Demographics
Mendeley readers
Attention Score in Context
| Title |
An inducible CiliaGFP mouse model for in vivo visualization and analysis of cilia in live tissue
|
|---|---|
| Published in |
Cilia, July 2013
|
| DOI | 10.1186/2046-2530-2-8 |
| Pubmed ID | |
| Authors |
Amber K O’Connor, Erik B Malarkey, Nicolas F Berbari, Mandy J Croyle, Courtney J Haycraft, P Darwin Bell, Peter Hohenstein, Robert A Kesterson, Bradley K Yoder |
| Abstract |
Cilia are found on nearly every cell type in the mammalian body, and have been historically classified as either motile or immotile. Motile cilia are important for fluid and cellular movement; however, the roles of non-motile or primary cilia in most tissues remain unknown. Several genetic syndromes, called the ciliopathies, are associated with defects in cilia structure or function and have a wide range of clinical presentations. Much of what we know about the formation and maintenance of cilia comes from model systems like C. elegans and Chalmydomonas. Studies of mammalian cilia in live tissues have been hampered by difficulty visualizing them. |
X Demographics
The data shown below were collected from the profiles of 5 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 States | 2 | 40% |
| United Kingdom | 2 | 40% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Science communicators (journalists, bloggers, editors) | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 2% |
| United Kingdom | 2 | 2% |
| France | 2 | 2% |
| Germany | 1 | <1% |
| Unknown | 120 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 33 | 26% |
| Researcher | 31 | 24% |
| Student > Master | 11 | 9% |
| Professor > Associate Professor | 9 | 7% |
| Professor | 6 | 5% |
| Other | 20 | 16% |
| Unknown | 18 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 45 | 35% |
| Biochemistry, Genetics and Molecular Biology | 31 | 24% |
| Neuroscience | 11 | 9% |
| Medicine and Dentistry | 10 | 8% |
| Engineering | 3 | 2% |
| Other | 7 | 5% |
| Unknown | 21 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 10 July 2013.
All research outputs
#2,124,311
of 22,713,403 outputs
Outputs from Cilia
#7
of 91 outputs
Outputs of similar age
#19,225
of 194,345 outputs
Outputs of similar age from Cilia
#1
of 4 outputs
Altmetric has tracked 22,713,403 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 91 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 92% 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 194,345 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 89% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them