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X Demographics
Mendeley readers
Attention Score in Context
| Title |
GOtcha: a new method for prediction of protein function assessed by the annotation of seven genomes
|
|---|---|
| Published in |
BMC Bioinformatics, November 2004
|
| DOI | 10.1186/1471-2105-5-178 |
| Pubmed ID | |
| Authors |
David MA Martin, Matthew Berriman, Geoffrey J Barton |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 133 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 3% |
| Spain | 3 | 2% |
| Portugal | 2 | 2% |
| Italy | 2 | 2% |
| Brazil | 2 | 2% |
| France | 1 | <1% |
| Austria | 1 | <1% |
| United Kingdom | 1 | <1% |
| Colombia | 1 | <1% |
| Other | 2 | 2% |
| Unknown | 114 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 31 | 23% |
| Student > Ph. D. Student | 29 | 22% |
| Student > Master | 17 | 13% |
| Student > Bachelor | 9 | 7% |
| Other | 9 | 7% |
| Other | 29 | 22% |
| Unknown | 9 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 62 | 47% |
| Computer Science | 24 | 18% |
| Biochemistry, Genetics and Molecular Biology | 18 | 14% |
| Chemistry | 4 | 3% |
| Engineering | 3 | 2% |
| Other | 11 | 8% |
| Unknown | 11 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 24 July 2019.
All research outputs
#14,416,838
of 25,287,709 outputs
Outputs from BMC Bioinformatics
#3,975
of 7,672 outputs
Outputs of similar age
#129,310
of 153,713 outputs
Outputs of similar age from BMC Bioinformatics
#33
of 39 outputs
Altmetric has tracked 25,287,709 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,672 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 48th percentile – i.e., 48% 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 153,713 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 39 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.