You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
A systematic comparison of the MetaCyc and KEGG pathway databases
|
|---|---|
| Published in |
BMC Bioinformatics, March 2013
|
| DOI | 10.1186/1471-2105-14-112 |
| Pubmed ID | |
| Authors |
Tomer Altman, Michael Travers, Anamika Kothari, Ron Caspi, Peter D Karp |
X Demographics
The data shown below were collected from the profiles of 18 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 | 3 | 17% |
| Japan | 2 | 11% |
| France | 1 | 6% |
| India | 1 | 6% |
| United Kingdom | 1 | 6% |
| Israel | 1 | 6% |
| China | 1 | 6% |
| Norway | 1 | 6% |
| Colombia | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 5 | 28% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 67% |
| Scientists | 6 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 373 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 11 | 3% |
| Netherlands | 5 | 1% |
| Germany | 3 | <1% |
| United Kingdom | 3 | <1% |
| Brazil | 2 | <1% |
| Sweden | 2 | <1% |
| Norway | 1 | <1% |
| Hong Kong | 1 | <1% |
| Latvia | 1 | <1% |
| Other | 9 | 2% |
| Unknown | 335 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 95 | 25% |
| Researcher | 84 | 23% |
| Student > Master | 42 | 11% |
| Student > Bachelor | 25 | 7% |
| Student > Doctoral Student | 17 | 5% |
| Other | 52 | 14% |
| Unknown | 58 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 138 | 37% |
| Biochemistry, Genetics and Molecular Biology | 67 | 18% |
| Computer Science | 31 | 8% |
| Medicine and Dentistry | 12 | 3% |
| Engineering | 10 | 3% |
| Other | 45 | 12% |
| Unknown | 70 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 26 December 2022.
All research outputs
#2,448,517
of 25,998,826 outputs
Outputs from BMC Bioinformatics
#596
of 7,793 outputs
Outputs of similar age
#19,732
of 214,360 outputs
Outputs of similar age from BMC Bioinformatics
#14
of 146 outputs
Altmetric has tracked 25,998,826 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 7,793 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done particularly well, scoring higher than 92% 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 214,360 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 90% of its contemporaries.
We're also able to compare this research output to 146 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.