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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A realistic assessment of methods for extracting gene/protein interactions from free text
|
|---|---|
| Published in |
BMC Bioinformatics, July 2009
|
| DOI | 10.1186/1471-2105-10-233 |
| Pubmed ID | |
| Authors |
Renata Kabiljo, Andrew B Clegg, Adrian J Shepherd |
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 % |
|---|---|---|
| Switzerland | 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 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| Brazil | 1 | 1% |
| India | 1 | 1% |
| Netherlands | 1 | 1% |
| Canada | 1 | 1% |
| United Kingdom | 1 | 1% |
| Spain | 1 | 1% |
| Slovenia | 1 | 1% |
| Unknown | 62 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 23% |
| Student > Master | 15 | 21% |
| Student > Ph. D. Student | 12 | 17% |
| Other | 4 | 6% |
| Student > Bachelor | 4 | 6% |
| Other | 14 | 20% |
| Unknown | 6 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 24 | 34% |
| Agricultural and Biological Sciences | 20 | 28% |
| Medicine and Dentistry | 6 | 8% |
| Biochemistry, Genetics and Molecular Biology | 5 | 7% |
| Psychology | 3 | 4% |
| Other | 6 | 8% |
| Unknown | 7 | 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 31 October 2022.
All research outputs
#18,577,751
of 23,009,818 outputs
Outputs from BMC Bioinformatics
#6,351
of 7,315 outputs
Outputs of similar age
#102,315
of 111,288 outputs
Outputs of similar age from BMC Bioinformatics
#27
of 30 outputs
Altmetric has tracked 23,009,818 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,315 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 5th percentile – i.e., 5% 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 111,288 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.