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Mendeley readers
Attention Score in Context
| Title |
The first Malay database toward the ethnic-specific target molecular variation
|
|---|---|
| Published in |
BMC Research Notes, April 2015
|
| DOI | 10.1186/s13104-015-1123-y |
| Pubmed ID | |
| Authors |
Hashim Halim-Fikri, Ali Etemad, Ahmad Zubaidi Abdul Latif, Amir Feisal Merican, Atif Amin Baig, Azlina Ahmad Annuar, Endom Ismail, Iman Salahshourifar, Ahmad Tajudin Liza-Sharmini, Marini Ramli, Mohamed Irwan Shah, Muhammad Farid Johan, Nik Norliza Nik Hassan, Noraishah Mydin Abdul-Aziz, Noor Haslina Mohd Noor, Ab Rajab Nur-Shafawati, Rosline Hassan, Rosnah Bahar, Rosnah Binti Zain, Shafini Mohamed Yusoff, Surini Yusoff, Soon Guan Tan, Meow-Keong Thong, Hatin Wan-Isa, Wan Zaidah Abdullah, Zahurin Mohamed, Zarina Abdul Latiff, Bin Alwi Zilfalil, In alphabetical order, members of the Malaysian Node of the Human Variome Project |
| Abstract |
The Malaysian Node of the Human Variome Project (MyHVP) is one of the eighteen official Human Variome Project (HVP) country-specific nodes. Since its inception in 9(th) October 2010, MyHVP has attracted the significant number of Malaysian clinicians and researchers to participate and contribute their data to this project. MyHVP also act as the center of coordination for genotypic and phenotypic variation studies of the Malaysian population. A specialized database was developed to store and manage the data based on genetic variations which also associated with health and disease of Malaysian ethnic groups. This ethnic-specific database is called the Malaysian Node of the Human Variome Project database (MyHVPDb). Currently, MyHVPDb provides only information about the genetic variations and mutations found in the Malays. In the near future, it will expand for the other Malaysian ethnics as well. The data sets are specified based on diseases or genetic mutation types which have three main subcategories: Single Nucleotide Polymorphism (SNP), Copy Number Variation (CNV) followed by the mutations which code for the common diseases among Malaysians. MyHVPDb has been open to the local researchers, academicians and students through the registration at the portal of MyHVP ( http://hvpmalaysia.kk.usm.my/mhgvc/index.php?id=register ). This database would be useful for clinicians and researchers who are interested in doing a study on genomics population and genetic diseases in order to obtain up-to-date and accurate information regarding the population-specific variations and also useful for those in countries with similar ethnic background. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Indonesia | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 50 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Postgraduate | 8 | 16% |
| Researcher | 6 | 12% |
| Student > Master | 6 | 12% |
| Student > Bachelor | 6 | 12% |
| Professor > Associate Professor | 4 | 8% |
| Other | 10 | 20% |
| Unknown | 10 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 13 | 26% |
| Medicine and Dentistry | 13 | 26% |
| Nursing and Health Professions | 3 | 6% |
| Agricultural and Biological Sciences | 3 | 6% |
| Engineering | 2 | 4% |
| Other | 4 | 8% |
| Unknown | 12 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 04 April 2023.
All research outputs
#3,608,208
of 25,634,695 outputs
Outputs from BMC Research Notes
#503
of 4,525 outputs
Outputs of similar age
#44,340
of 279,113 outputs
Outputs of similar age from BMC Research Notes
#15
of 90 outputs
Altmetric has tracked 25,634,695 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,525 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one has done well, scoring higher than 88% 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 279,113 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 84% of its contemporaries.
We're also able to compare this research output to 90 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.