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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A cross disciplinary study of link decay and the effectiveness of mitigation techniques
|
|---|---|
| Published in |
BMC Bioinformatics, October 2013
|
| DOI | 10.1186/1471-2105-14-s14-s5 |
| Pubmed ID | |
| Authors |
Jason Hennessey, Steven Xijin Ge |
| Abstract |
The dynamic, decentralized world-wide-web has become an essential part of scientific research and communication. Researchers create thousands of web sites every year to share software, data and services. These valuable resources tend to disappear over time. The problem has been documented in many subject areas. Our goal is to conduct a cross-disciplinary investigation of the problem and test the effectiveness of existing remedies. |
X Demographics
The data shown below were collected from the profiles of 12 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 | 3 | 25% |
| Hungary | 1 | 8% |
| United States | 1 | 8% |
| Germany | 1 | 8% |
| Unknown | 6 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 67% |
| Scientists | 4 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 6% |
| Unknown | 30 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 31% |
| Student > Master | 4 | 13% |
| Student > Bachelor | 4 | 13% |
| Student > Doctoral Student | 2 | 6% |
| Researcher | 2 | 6% |
| Other | 7 | 22% |
| Unknown | 3 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 8 | 25% |
| Social Sciences | 7 | 22% |
| Psychology | 4 | 13% |
| Arts and Humanities | 3 | 9% |
| Agricultural and Biological Sciences | 1 | 3% |
| Other | 4 | 13% |
| Unknown | 5 | 16% |
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 15 January 2024.
All research outputs
#768,615
of 25,753,031 outputs
Outputs from BMC Bioinformatics
#40
of 7,741 outputs
Outputs of similar age
#6,530
of 223,787 outputs
Outputs of similar age from BMC Bioinformatics
#1
of 108 outputs
Altmetric has tracked 25,753,031 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 7,741 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 99% 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 223,787 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 97% of its contemporaries.
We're also able to compare this research output to 108 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 99% of its contemporaries.