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Attention Score in Context
| Title |
Analysis of deep sequencing microRNA expression profile from human embryonic stem cells derived mesenchymal stem cells reveals possible role of let-7 microRNA family in downstream targeting of Hepatic Nuclear Factor 4 Alpha
|
|---|---|
| Published in |
BMC Genomics, February 2010
|
| DOI | 10.1186/1471-2164-11-s1-s6 |
| Pubmed ID | |
| Authors |
Winston Koh, Chen Tian Sheng, Betty Tan, Qian Yi Lee, Vladimir Kuznetsov, Lim Sai Kiang, Vivek Tanavde |
| Abstract |
Recent literature has revealed that genetic exchange of microRNA between cells can be essential for cell-cell communication, tissue-specificity and developmental processes. In stem cells, as in other cells, this can be accomplished through microvesicles or exosome mediated transfer. However, molecular profiles and functions of microRNAs within the cells and in their exosomes are poorly studied. Next generation sequencing technologies could provide a broad-spectrum of microRNAs and their expression and identify possible microRNA targets. In this work, we performed deep sequencing of microRNAs to understand the profile and expression of the microRNAs in microvesicles and intracellular environment of human embryonic stem cells derived mesenchymal stem cells (hES-MSC). We outline a workflow pertaining to visualizing, statistical analysis and interpreting deep sequencing data of known intracellular and extracellular microRNAs from hES-MSC). We utilized these results of which directed our attention towards establishing hepatic nuclear factor 4 alpha (HNF4A) as a downstream target of let-7 family of microRNAs. |
Mendeley readers
The data shown below were compiled from readership statistics for 139 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 4% |
| Brazil | 2 | 1% |
| Malaysia | 1 | <1% |
| Ireland | 1 | <1% |
| Germany | 1 | <1% |
| Czechia | 1 | <1% |
| Portugal | 1 | <1% |
| China | 1 | <1% |
| Iran, Islamic Republic of | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 125 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 35 | 25% |
| Student > Ph. D. Student | 34 | 24% |
| Student > Master | 16 | 12% |
| Professor > Associate Professor | 13 | 9% |
| Student > Bachelor | 10 | 7% |
| Other | 24 | 17% |
| Unknown | 7 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 66 | 47% |
| Biochemistry, Genetics and Molecular Biology | 30 | 22% |
| Medicine and Dentistry | 15 | 11% |
| Engineering | 5 | 4% |
| Computer Science | 4 | 3% |
| Other | 9 | 6% |
| Unknown | 10 | 7% |
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 15 November 2017.
All research outputs
#4,696,396
of 22,787,797 outputs
Outputs from BMC Genomics
#1,998
of 10,647 outputs
Outputs of similar age
#27,965
of 166,314 outputs
Outputs of similar age from BMC Genomics
#22
of 117 outputs
Altmetric has tracked 22,787,797 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,647 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 80% 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 166,314 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 78% of its contemporaries.
We're also able to compare this research output to 117 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 74% of its contemporaries.