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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Word add-in for ontology recognition: semantic enrichment of scientific literature
|
|---|---|
| Published in |
BMC Bioinformatics, February 2010
|
| DOI | 10.1186/1471-2105-11-103 |
| Pubmed ID | |
| Authors |
J Lynn Fink, Pablo Fernicola, Rahul Chandran, Savas Parastatidis, Alex Wade, Oscar Naim, Gregory B Quinn, Philip E Bourne |
| Abstract |
In the current era of scientific research, efficient communication of information is paramount. As such, the nature of scholarly and scientific communication is changing; cyberinfrastructure is now absolutely necessary and new media are allowing information and knowledge to be more interactive and immediate. One approach to making knowledge more accessible is the addition of machine-readable semantic data to scholarly articles. |
X Demographics
The data shown below were collected from the profiles of 4 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 States | 2 | 50% |
| France | 1 | 25% |
| Canada | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 9% |
| United Kingdom | 4 | 5% |
| Germany | 3 | 4% |
| Spain | 3 | 4% |
| Sweden | 1 | 1% |
| South Africa | 1 | 1% |
| Canada | 1 | 1% |
| Brazil | 1 | 1% |
| Norway | 1 | 1% |
| Other | 1 | 1% |
| Unknown | 55 | 71% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 27 | 35% |
| Student > Ph. D. Student | 14 | 18% |
| Student > Master | 7 | 9% |
| Other | 6 | 8% |
| Professor > Associate Professor | 5 | 6% |
| Other | 15 | 19% |
| Unknown | 4 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 24 | 31% |
| Computer Science | 19 | 24% |
| Medicine and Dentistry | 7 | 9% |
| Social Sciences | 5 | 6% |
| Arts and Humanities | 5 | 6% |
| Other | 13 | 17% |
| Unknown | 5 | 6% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 21 February 2015.
All research outputs
#7,310,367
of 22,655,397 outputs
Outputs from BMC Bioinformatics
#2,974
of 7,236 outputs
Outputs of similar age
#34,467
of 93,635 outputs
Outputs of similar age from BMC Bioinformatics
#22
of 69 outputs
Altmetric has tracked 22,655,397 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 7,236 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 58% of its peers.
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 93,635 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.
We're also able to compare this research output to 69 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.