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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Design of microarray probes for virus identification and detection of emerging viruses at the genus level
|
|---|---|
| Published in |
BMC Bioinformatics, April 2006
|
| DOI | 10.1186/1471-2105-7-232 |
| Pubmed ID | |
| Authors |
Cheng-Chung Chou, Te-Tsui Lee, Chun-Houh Chen, Hsiang-Yun Hsiao, Yi-Ling Lin, Mei-Shang Ho, Pan-Chyr Yang, Konan Peck |
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 % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 1 | 2% |
| French Polynesia | 1 | 2% |
| Germany | 1 | 2% |
| Tanzania, United Republic of | 1 | 2% |
| United States | 1 | 2% |
| Iraq | 1 | 2% |
| Unknown | 53 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 18 | 31% |
| Student > Ph. D. Student | 12 | 20% |
| Student > Bachelor | 8 | 14% |
| Student > Doctoral Student | 3 | 5% |
| Other | 3 | 5% |
| Other | 10 | 17% |
| Unknown | 5 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 30 | 51% |
| Biochemistry, Genetics and Molecular Biology | 9 | 15% |
| Computer Science | 5 | 8% |
| Immunology and Microbiology | 2 | 3% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Other | 6 | 10% |
| Unknown | 6 | 10% |
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 14 May 2020.
All research outputs
#15,608,323
of 23,207,489 outputs
Outputs from BMC Bioinformatics
#5,447
of 7,354 outputs
Outputs of similar age
#58,599
of 66,676 outputs
Outputs of similar age from BMC Bioinformatics
#41
of 50 outputs
Altmetric has tracked 23,207,489 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,354 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 18th percentile – i.e., 18% 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 66,676 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.