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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Human Induced Pluripotent Stem Cell-Derived Models to Investigate Human Cytomegalovirus Infection in Neural Cells
|
|---|---|
| Published in |
PLOS ONE, November 2012
|
| DOI | 10.1371/journal.pone.0049700 |
| Pubmed ID | |
| Authors |
Leonardo D'Aiuto, Roberto Di Maio, Brianna Heath, Giorgio Raimondi, Jadranka Milosevic, Annie M. Watson, Mikhil Bamne, W. Tony Parks, Lei Yang, Bo Lin, Toshio Miki, Jocelyn Danielle Mich-Basso, Ravit Arav-Boger, Etienne Sibille, Sarven Sabunciyan, Robert Yolken, Vishwajit Nimgaonkar |
| Abstract |
Human cytomegalovirus (HCMV) infection is one of the leading prenatal causes of congenital mental retardation and deformities world-wide. Access to cultured human neuronal lineages, necessary to understand the species specific pathogenic effects of HCMV, has been limited by difficulties in sustaining primary human neuronal cultures. Human induced pluripotent stem (iPS) cells now provide an opportunity for such research. We derived iPS cells from human adult fibroblasts and induced neural lineages to investigate their susceptibility to infection with HCMV strain Ad169. Analysis of iPS cells, iPS-derived neural stem cells (NSCs), neural progenitor cells (NPCs) and neurons suggests that (i) iPS cells are not permissive to HCMV infection, i.e., they do not permit a full viral replication cycle; (ii) Neural stem cells have impaired differentiation when infected by HCMV; (iii) NPCs are fully permissive for HCMV infection; altered expression of genes related to neural metabolism or neuronal differentiation is also observed; (iv) most iPS-derived neurons are not permissive to HCMV infection; and (v) infected neurons have impaired calcium influx in response to glutamate. |
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% |
| Belgium | 1 | 20% |
| France | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 2% |
| United States | 1 | 1% |
| Japan | 1 | 1% |
| Unknown | 82 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 15 | 17% |
| Researcher | 14 | 16% |
| Student > Ph. D. Student | 12 | 14% |
| Student > Master | 12 | 14% |
| Professor > Associate Professor | 7 | 8% |
| Other | 15 | 17% |
| Unknown | 11 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 26 | 30% |
| Biochemistry, Genetics and Molecular Biology | 17 | 20% |
| Medicine and Dentistry | 8 | 9% |
| Immunology and Microbiology | 6 | 7% |
| Neuroscience | 5 | 6% |
| Other | 7 | 8% |
| Unknown | 17 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 28 April 2013.
All research outputs
#7,363,080
of 22,687,320 outputs
Outputs from PLOS ONE
#87,493
of 193,653 outputs
Outputs of similar age
#81,532
of 277,168 outputs
Outputs of similar age from PLOS ONE
#1,801
of 4,740 outputs
Altmetric has tracked 22,687,320 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 193,653 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has gotten more attention than average, scoring higher than 54% 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 277,168 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 70% of its contemporaries.
We're also able to compare this research output to 4,740 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.