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Mendeley readers
Attention Score in Context
| Title |
Bobby Sox homology regulates odontoblast differentiation of human dental pulp stem cells/progenitors
|
|---|---|
| Published in |
Cell Communication and Signaling, May 2014
|
| DOI | 10.1186/1478-811x-12-35 |
| Pubmed ID | |
| Authors |
Young-Ae Choi, Mi-Youn Seol, Hong-In Shin, Eui Kyun Park |
| Abstract |
Transcription factors have been implicated in regulating the differentiation of odontoblasts from dental pulp stem cells/progenitors (DPSCs/progenitors), but their regulatory network is not completely understood.Result: New transcription factors that control the odontoblast differentiation of human DPSCs/progenitors were analyzed using a microarray. The result revealed bobby sox homolog (BBX) to be expressed most strongly during odontoblast differentiation. Validation using RT-PCR also revealed the strong expression of BBX during the odontoblast differentiation of DPSCs/progenitors. BBX expression was also detected in adult molar odontoblasts and other tissues, including the heart, kidney, testis, and bone marrow. To understand the role of BBX in odontoblast differentiation, BBX variant 1 and 2 cDNA were cloned and overexpressed in DPSCs/progenitors. The results showed that the overexpression of BBX cDNA in DPSCs/progenitors induced substantial mineralization and expression of the odontoblast marker genes, such as ALP, OPN, BSP, DMP1, and DSPP. The knockdown of BBX using shRNA, however, did not affect mineralization, but the expression of ALP and DSPP was decreased substantially. Meanwhile overexpression or knockdown of BBX did not modulate proliferation of DPSCs/progenitors. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
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 % |
|---|---|---|
| Colombia | 1 | 4% |
| Unknown | 26 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 22% |
| Student > Bachelor | 4 | 15% |
| Student > Ph. D. Student | 4 | 15% |
| Student > Doctoral Student | 3 | 11% |
| Researcher | 2 | 7% |
| Other | 5 | 19% |
| Unknown | 3 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 12 | 44% |
| Agricultural and Biological Sciences | 7 | 26% |
| Biochemistry, Genetics and Molecular Biology | 4 | 15% |
| Design | 1 | 4% |
| Unknown | 3 | 11% |
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 07 June 2014.
All research outputs
#18,373,576
of 22,757,090 outputs
Outputs from Cell Communication and Signaling
#733
of 984 outputs
Outputs of similar age
#163,146
of 226,625 outputs
Outputs of similar age from Cell Communication and Signaling
#8
of 9 outputs
Altmetric has tracked 22,757,090 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 984 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 7th percentile – i.e., 7% of its peers scored the same or lower than it.
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We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one.