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X Demographics
Mendeley readers
Attention Score in Context
| Title |
WikiPathways: a multifaceted pathway database bridging metabolomics to other omics research
|
|---|---|
| Published in |
Nucleic Acids Research, November 2017
|
| DOI | 10.1093/nar/gkx1064 |
| Pubmed ID | |
| Authors |
Denise N. Slenter, Martina Kutmon, Kristina Hanspers, Anders Riutta, Jacob Windsor, Nuno Nunes, Jonathan Mélius, Elisa Cirillo, Susan L. Coort, Daniela Digles, Friederike Ehrhart, Pieter Giesbertz, Marianthi Kalafati, Marvin Martens, Ryan Miller, Kozo Nishida, Linda Rieswijk, Andra Waagmeester, Lars M.T. Eijssen, Chris T. Evelo, Alexander R. Pico, Egon L. Willighagen |
X Demographics
The data shown below were collected from the profiles of 59 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 6 | 10% |
| Spain | 5 | 8% |
| United States | 5 | 8% |
| Canada | 3 | 5% |
| Japan | 3 | 5% |
| Germany | 3 | 5% |
| India | 3 | 5% |
| United Kingdom | 3 | 5% |
| France | 1 | 2% |
| Other | 6 | 10% |
| Unknown | 21 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 31 | 53% |
| Scientists | 26 | 44% |
| Science communicators (journalists, bloggers, editors) | 2 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 509 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 509 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 107 | 21% |
| Researcher | 75 | 15% |
| Student > Master | 62 | 12% |
| Student > Bachelor | 48 | 9% |
| Student > Postgraduate | 20 | 4% |
| Other | 73 | 14% |
| Unknown | 124 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 148 | 29% |
| Agricultural and Biological Sciences | 65 | 13% |
| Computer Science | 36 | 7% |
| Medicine and Dentistry | 25 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 15 | 3% |
| Other | 77 | 15% |
| Unknown | 143 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 56. 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 11 April 2022.
All research outputs
#773,038
of 26,017,215 outputs
Outputs from Nucleic Acids Research
#323
of 27,863 outputs
Outputs of similar age
#15,945
of 342,658 outputs
Outputs of similar age from Nucleic Acids Research
#9
of 384 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 27,863 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has done particularly well, scoring higher than 98% 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 342,658 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 95% of its contemporaries.
We're also able to compare this research output to 384 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 97% of its contemporaries.