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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Adventures in Semantic Publishing: Exemplar Semantic Enhancements of a Research Article
|
|---|---|
| Published in |
PLoS Computational Biology, April 2009
|
| DOI | 10.1371/journal.pcbi.1000361 |
| Pubmed ID | |
| Authors |
David Shotton, Katie Portwin, Graham Klyne, Alistair Miles |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 2 | 20% |
| United Kingdom | 2 | 20% |
| Sweden | 1 | 10% |
| India | 1 | 10% |
| France | 1 | 10% |
| Unknown | 3 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 90% |
| Science communicators (journalists, bloggers, editors) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 346 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 33 | 10% |
| United Kingdom | 21 | 6% |
| Germany | 10 | 3% |
| Mexico | 5 | 1% |
| France | 4 | 1% |
| Spain | 4 | 1% |
| Canada | 3 | <1% |
| Brazil | 3 | <1% |
| Australia | 3 | <1% |
| Other | 27 | 8% |
| Unknown | 233 | 67% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 86 | 25% |
| Student > Ph. D. Student | 48 | 14% |
| Other | 43 | 12% |
| Librarian | 40 | 12% |
| Student > Master | 31 | 9% |
| Other | 82 | 24% |
| Unknown | 16 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 110 | 32% |
| Agricultural and Biological Sciences | 81 | 23% |
| Social Sciences | 44 | 13% |
| Medicine and Dentistry | 23 | 7% |
| Arts and Humanities | 18 | 5% |
| Other | 46 | 13% |
| Unknown | 24 | 7% |
Attention Score in Context
This research output has an Altmetric Attention Score of 66. 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 12 March 2018.
All research outputs
#649,954
of 25,576,801 outputs
Outputs from PLoS Computational Biology
#470
of 9,003 outputs
Outputs of similar age
#1,422
of 107,258 outputs
Outputs of similar age from PLoS Computational Biology
#2
of 53 outputs
Altmetric has tracked 25,576,801 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,003 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has done particularly well, scoring higher than 94% 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 107,258 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 98% of its contemporaries.
We're also able to compare this research output to 53 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 96% of its contemporaries.