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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 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 2% |
| Unknown | 62 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 14 | 22% |
| Researcher | 11 | 17% |
| Student > Bachelor | 8 | 13% |
| Student > Ph. D. Student | 7 | 11% |
| Lecturer | 4 | 6% |
| Other | 12 | 19% |
| Unknown | 7 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 14 | 22% |
| Biochemistry, Genetics and Molecular Biology | 11 | 17% |
| Computer Science | 8 | 13% |
| Medicine and Dentistry | 4 | 6% |
| Engineering | 4 | 6% |
| Other | 14 | 22% |
| Unknown | 8 | 13% |
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
#14,856,861
of 22,880,230 outputs
Outputs from PLoS Computational Biology
#6,674
of 8,310 outputs
Outputs of similar age
#75,249
of 90,688 outputs
Outputs of similar age from PLoS Computational Biology
#36
of 47 outputs
Altmetric has tracked 22,880,230 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,310 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.6. 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 90,688 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.