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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Ten Simple Rules for Providing a Scientific Web Resource
|
|---|---|
| Published in |
PLoS Computational Biology, May 2011
|
| DOI | 10.1371/journal.pcbi.1001126 |
| Pubmed ID | |
| Authors |
Sebastian J. Schultheiss |
X Demographics
The data shown below were collected from the profiles of 25 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 | 9 | 36% |
| France | 2 | 8% |
| Canada | 1 | 4% |
| Brazil | 1 | 4% |
| Colombia | 1 | 4% |
| United Kingdom | 1 | 4% |
| Hong Kong | 1 | 4% |
| Unknown | 9 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 16 | 64% |
| Scientists | 6 | 24% |
| Science communicators (journalists, bloggers, editors) | 3 | 12% |
Mendeley readers
The data shown below were compiled from readership statistics for 219 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 11 | 5% |
| United Kingdom | 7 | 3% |
| Spain | 4 | 2% |
| Germany | 3 | 1% |
| Canada | 3 | 1% |
| Korea, Republic of | 2 | <1% |
| Japan | 2 | <1% |
| Mexico | 2 | <1% |
| South Africa | 1 | <1% |
| Other | 9 | 4% |
| Unknown | 175 | 80% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 65 | 30% |
| Student > Ph. D. Student | 47 | 21% |
| Other | 18 | 8% |
| Professor | 15 | 7% |
| Professor > Associate Professor | 13 | 6% |
| Other | 34 | 16% |
| Unknown | 27 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 102 | 47% |
| Computer Science | 21 | 10% |
| Biochemistry, Genetics and Molecular Biology | 19 | 9% |
| Engineering | 12 | 5% |
| Medicine and Dentistry | 7 | 3% |
| Other | 23 | 11% |
| Unknown | 35 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 37. 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 02 June 2020.
All research outputs
#1,086,652
of 25,374,647 outputs
Outputs from PLoS Computational Biology
#872
of 8,960 outputs
Outputs of similar age
#4,208
of 123,444 outputs
Outputs of similar age from PLoS Computational Biology
#4
of 60 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,960 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 90% 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 123,444 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 96% of its contemporaries.
We're also able to compare this research output to 60 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 93% of its contemporaries.