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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Erratum to: A linear classifier based on entity recognition tools and a statistical approach to method extraction in the protein-protein interaction literature
|
|---|---|
| Published in |
BMC Bioinformatics, July 2012
|
| DOI | 10.1186/1471-2105-13-180 |
| Pubmed ID | |
| Authors |
Anália Lourenço, Michael Conover, Andrew Wong, Azadeh Nematzadeh, Fengxia Pan, Hagit Shatkay, Luis M Rocha |
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 % |
|---|---|---|
| Portugal | 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 7% |
| United States | 1 | 7% |
| Portugal | 1 | 7% |
| Canada | 1 | 7% |
| Unknown | 10 | 71% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 21% |
| Lecturer | 2 | 14% |
| Professor | 2 | 14% |
| Other | 2 | 14% |
| Student > Bachelor | 1 | 7% |
| Other | 4 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 36% |
| Agricultural and Biological Sciences | 3 | 21% |
| Chemistry | 2 | 14% |
| Psychology | 1 | 7% |
| Business, Management and Accounting | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 2 | 14% |
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 02 January 2020.
All research outputs
#20,597,497
of 23,184,056 outputs
Outputs from BMC Bioinformatics
#6,920
of 7,345 outputs
Outputs of similar age
#148,399
of 165,496 outputs
Outputs of similar age from BMC Bioinformatics
#85
of 94 outputs
Altmetric has tracked 23,184,056 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,345 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 1st percentile – i.e., 1% 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 165,496 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 94 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.