| Title |
Consistency, comprehensiveness, and compatibility of pathway databases
|
|---|---|
| Published in |
BMC Bioinformatics, September 2010
|
| DOI | 10.1186/1471-2105-11-449 |
| Pubmed ID | |
| Authors |
Donny Soh, Difeng Dong, Yike Guo, Limsoon Wong |
| Abstract |
It is necessary to analyze microarray experiments together with biological information to make better biological inferences. We investigate the adequacy of current biological databases to address this need. |
Mendeley readers
The data shown below were compiled from readership statistics for 144 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 9 | 6% |
| United Kingdom | 6 | 4% |
| Spain | 4 | 3% |
| Netherlands | 3 | 2% |
| Germany | 2 | 1% |
| Russia | 2 | 1% |
| Mexico | 1 | <1% |
| Belgium | 1 | <1% |
| Canada | 1 | <1% |
| Other | 3 | 2% |
| Unknown | 112 | 78% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 54 | 38% |
| Student > Ph. D. Student | 36 | 25% |
| Student > Master | 13 | 9% |
| Other | 8 | 6% |
| Student > Bachelor | 7 | 5% |
| Other | 21 | 15% |
| Unknown | 5 | 3% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 71 | 49% |
| Computer Science | 25 | 17% |
| Biochemistry, Genetics and Molecular Biology | 15 | 10% |
| Medicine and Dentistry | 6 | 4% |
| Mathematics | 4 | 3% |
| Other | 13 | 9% |
| Unknown | 10 | 7% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 09 November 2010.
All research outputs
#12,852,960
of 22,662,201 outputs
Outputs from BMC Bioinformatics
#3,776
of 7,242 outputs
Outputs of similar age
#72,298
of 95,051 outputs
Outputs of similar age from BMC Bioinformatics
#32
of 47 outputs
Altmetric has tracked 22,662,201 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,242 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 45th percentile – i.e., 45% 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 95,051 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.