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X Demographics
Mendeley readers
Attention Score in Context
| Title |
OpenDMAP: An open source, ontology-driven concept analysis engine, with applications to capturing knowledge regarding protein transport, protein interactions and cell-type-specific gene expression
|
|---|---|
| Published in |
BMC Bioinformatics, January 2008
|
| DOI | 10.1186/1471-2105-9-78 |
| Pubmed ID | |
| Authors |
Lawrence Hunter, Zhiyong Lu, James Firby, William A Baumgartner, Helen L Johnson, Philip V Ogren, K Bretonnel Cohen |
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 % |
|---|---|---|
| Japan | 2 | 67% |
| United States | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 15 | 13% |
| Netherlands | 3 | 3% |
| Portugal | 2 | 2% |
| Brazil | 2 | 2% |
| France | 1 | <1% |
| Turkey | 1 | <1% |
| Malaysia | 1 | <1% |
| United Kingdom | 1 | <1% |
| Sweden | 1 | <1% |
| Other | 2 | 2% |
| Unknown | 89 | 75% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 27 | 23% |
| Student > Ph. D. Student | 18 | 15% |
| Student > Master | 18 | 15% |
| Professor > Associate Professor | 9 | 8% |
| Student > Doctoral Student | 8 | 7% |
| Other | 29 | 25% |
| Unknown | 9 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 37 | 31% |
| Agricultural and Biological Sciences | 29 | 25% |
| Medicine and Dentistry | 10 | 8% |
| Linguistics | 4 | 3% |
| Biochemistry, Genetics and Molecular Biology | 4 | 3% |
| Other | 17 | 14% |
| Unknown | 17 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 30 December 2015.
All research outputs
#2,303,026
of 23,289,753 outputs
Outputs from BMC Bioinformatics
#651
of 7,377 outputs
Outputs of similar age
#9,213
of 158,409 outputs
Outputs of similar age from BMC Bioinformatics
#4
of 36 outputs
Altmetric has tracked 23,289,753 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,377 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 done particularly well, scoring higher than 91% 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 158,409 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.