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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Protein structure analysis of mutations causing inheritable diseases. An e-Science approach with life scientist friendly interfaces
|
|---|---|
| Published in |
BMC Bioinformatics, November 2010
|
| DOI | 10.1186/1471-2105-11-548 |
| Pubmed ID | |
| Authors |
Hanka Venselaar, Tim AH te Beek, Remko KP Kuipers, Maarten L Hekkelman, Gert Vriend |
| Abstract |
Many newly detected point mutations are located in protein-coding regions of the human genome. Knowledge of their effects on the protein's 3D structure provides insight into the protein's mechanism, can aid the design of further experiments, and eventually can lead to the development of new medicines and diagnostic tools. |
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 600 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | <1% |
| Netherlands | 2 | <1% |
| United States | 2 | <1% |
| Spain | 2 | <1% |
| Nepal | 1 | <1% |
| Australia | 1 | <1% |
| Indonesia | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| United Kingdom | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 587 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 106 | 18% |
| Student > Master | 84 | 14% |
| Student > Bachelor | 75 | 13% |
| Researcher | 37 | 6% |
| Student > Doctoral Student | 25 | 4% |
| Other | 80 | 13% |
| Unknown | 193 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 177 | 30% |
| Agricultural and Biological Sciences | 99 | 17% |
| Medicine and Dentistry | 35 | 6% |
| Immunology and Microbiology | 18 | 3% |
| Chemistry | 18 | 3% |
| Other | 52 | 9% |
| Unknown | 201 | 34% |
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 20 November 2012.
All research outputs
#15,256,044
of 22,685,926 outputs
Outputs from BMC Bioinformatics
#5,361
of 7,252 outputs
Outputs of similar age
#80,281
of 100,622 outputs
Outputs of similar age from BMC Bioinformatics
#46
of 66 outputs
Altmetric has tracked 22,685,926 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 7,252 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 100,622 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 66 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.