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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Bioinformatics in Malaysia: Hope, Initiative, Effort, Reality, and Challenges
|
|---|---|
| Published in |
PLoS Computational Biology, August 2009
|
| DOI | 10.1371/journal.pcbi.1000457 |
| Pubmed ID | |
| Authors |
Azura M. H. Zeti, Mohd S. Shamsir, Khairina Tajul-Arifin, Amir F. Merican, Rahmah Mohamed, Sheila Nathan, Nor Muhammad Mahadi, Suhaimi Napis, Tin W. Tan |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 2% |
| Unknown | 63 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 14 | 22% |
| Researcher | 11 | 17% |
| Student > Bachelor | 8 | 13% |
| Student > Ph. D. Student | 8 | 13% |
| Lecturer | 4 | 6% |
| Other | 11 | 17% |
| Unknown | 8 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 14 | 22% |
| Biochemistry, Genetics and Molecular Biology | 12 | 19% |
| Computer Science | 8 | 13% |
| Medicine and Dentistry | 4 | 6% |
| Engineering | 4 | 6% |
| Other | 13 | 20% |
| Unknown | 9 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 18 July 2022.
All research outputs
#16,721,717
of 25,374,647 outputs
Outputs from PLoS Computational Biology
#7,219
of 8,960 outputs
Outputs of similar age
#84,758
of 101,031 outputs
Outputs of similar age from PLoS Computational Biology
#37
of 49 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,960 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 16th percentile – i.e., 16% of its peers scored the same or lower than it.
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 101,031 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.