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X Demographics
Mendeley readers
Attention Score in Context
| Title |
PubFocus: semantic MEDLINE/PubMed citations analytics through integration of controlled biomedical dictionaries and ranking algorithm
|
|---|---|
| Published in |
BMC Bioinformatics, October 2006
|
| DOI | 10.1186/1471-2105-7-424 |
| Pubmed ID | |
| Authors |
Maksim V Plikus, Zina Zhang, Cheng-Ming Chuong |
| Abstract |
Understanding research activity within any given biomedical field is important. Search outputs generated by MEDLINE/PubMed are not well classified and require lengthy manual citation analysis. Automation of citation analytics can be very useful and timesaving for both novices and experts. |
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 % |
|---|---|---|
| Spain | 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 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 7% |
| Netherlands | 3 | 3% |
| Mexico | 3 | 3% |
| United Kingdom | 2 | 2% |
| Brazil | 2 | 2% |
| Spain | 2 | 2% |
| Italy | 1 | 1% |
| Denmark | 1 | 1% |
| Malaysia | 1 | 1% |
| Other | 2 | 2% |
| Unknown | 74 | 76% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 21 | 21% |
| Student > Ph. D. Student | 14 | 14% |
| Student > Master | 14 | 14% |
| Librarian | 10 | 10% |
| Professor > Associate Professor | 8 | 8% |
| Other | 24 | 24% |
| Unknown | 7 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 31 | 32% |
| Agricultural and Biological Sciences | 16 | 16% |
| Medicine and Dentistry | 14 | 14% |
| Social Sciences | 6 | 6% |
| Arts and Humanities | 5 | 5% |
| Other | 17 | 17% |
| Unknown | 9 | 9% |
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 10 March 2013.
All research outputs
#15,266,089
of 22,701,287 outputs
Outputs from BMC Bioinformatics
#5,362
of 7,254 outputs
Outputs of similar age
#59,179
of 67,615 outputs
Outputs of similar age from BMC Bioinformatics
#35
of 45 outputs
Altmetric has tracked 22,701,287 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 7,254 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 67,615 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 45 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.