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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Persistence and Availability of Web Services in Computational Biology
|
|---|---|
| Published in |
PLOS ONE, September 2011
|
| DOI | 10.1371/journal.pone.0024914 |
| Pubmed ID | |
| Authors |
Sebastian J. Schultheiss, Marc-Christian Münch, Gergana D. Andreeva, Gunnar Rätsch |
| Abstract |
We have conducted a study on the long-term availability of bioinformatics Web services: an observation of 927 Web services published in the annual Nucleic Acids Research Web Server Issues between 2003 and 2009. We found that 72% of Web sites are still available at the published addresses, only 9% of services are completely unavailable. Older addresses often redirect to new pages. We checked the functionality of all available services: for 33%, we could not test functionality because there was no example data or a related problem; 13% were truly no longer working as expected; we could positively confirm functionality only for 45% of all services. Additionally, we conducted a survey among 872 Web Server Issue corresponding authors; 274 replied. 78% of all respondents indicate their services have been developed solely by students and researchers without a permanent position. Consequently, these services are in danger of falling into disrepair after the original developers move to another institution, and indeed, for 24% of services, there is no plan for maintenance, according to the respondents. We introduce a Web service quality scoring system that correlates with the number of citations: services with a high score are cited 1.8 times more often than low-scoring services. We have identified key characteristics that are predictive of a service's survival, providing reviewers, editors, and Web service developers with the means to assess or improve Web services. A Web service conforming to these criteria receives more citations and provides more reliable service for its users. The most effective way of ensuring continued access to a service is a persistent Web address, offered either by the publishing journal, or created on the authors' own initiative, for example at http://bioweb.me. The community would benefit the most from a policy requiring any source code needed to reproduce results to be deposited in a public repository. |
X Demographics
The data shown below were collected from the profiles of 62 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 Kingdom | 7 | 11% |
| United States | 7 | 11% |
| Switzerland | 3 | 5% |
| France | 3 | 5% |
| Belgium | 2 | 3% |
| Canada | 2 | 3% |
| Spain | 2 | 3% |
| Denmark | 1 | 2% |
| Germany | 1 | 2% |
| Other | 3 | 5% |
| Unknown | 31 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 43 | 69% |
| Scientists | 22 | 35% |
Mendeley readers
The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 10% |
| United Kingdom | 3 | 4% |
| France | 2 | 3% |
| Netherlands | 1 | 1% |
| Germany | 1 | 1% |
| Bulgaria | 1 | 1% |
| Mexico | 1 | 1% |
| Canada | 1 | 1% |
| Unknown | 54 | 76% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 24 | 34% |
| Student > Ph. D. Student | 13 | 18% |
| Student > Master | 8 | 11% |
| Other | 6 | 8% |
| Student > Bachelor | 4 | 6% |
| Other | 10 | 14% |
| Unknown | 6 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 38 | 54% |
| Computer Science | 8 | 11% |
| Biochemistry, Genetics and Molecular Biology | 6 | 8% |
| Mathematics | 2 | 3% |
| Business, Management and Accounting | 2 | 3% |
| Other | 7 | 10% |
| Unknown | 8 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 91. 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 15 January 2020.
All research outputs
#451,971
of 24,877,044 outputs
Outputs from PLOS ONE
#6,359
of 215,426 outputs
Outputs of similar age
#1,625
of 135,012 outputs
Outputs of similar age from PLOS ONE
#64
of 2,552 outputs
Altmetric has tracked 24,877,044 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 215,426 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.7. This one has done particularly well, scoring higher than 97% 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 135,012 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 2,552 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.