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X Demographics
Mendeley readers
Attention Score in Context
| Title |
MendeLIMS: a web-based laboratory information management system for clinical genome sequencing
|
|---|---|
| Published in |
BMC Bioinformatics, August 2014
|
| DOI | 10.1186/1471-2105-15-290 |
| Pubmed ID | |
| Authors |
Susan M Grimes, Hanlee P Ji |
| Abstract |
Large clinical genomics studies using next generation DNA sequencing require the ability to select and track samples from a large population of patients through many experimental steps. With the number of clinical genome sequencing studies increasing, it is critical to maintain adequate laboratory information management systems to manage the thousands of patient samples that are subject to this type of genetic analysis. |
X Demographics
The data shown below were collected from the profiles of 11 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 | 3 | 27% |
| India | 1 | 9% |
| United Kingdom | 1 | 9% |
| Israel | 1 | 9% |
| Australia | 1 | 9% |
| Unknown | 4 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 55% |
| Members of the public | 5 | 45% |
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 | 2 | 3% |
| Germany | 1 | 1% |
| Sweden | 1 | 1% |
| Argentina | 1 | 1% |
| United Kingdom | 1 | 1% |
| Japan | 1 | 1% |
| China | 1 | 1% |
| Unknown | 63 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 20 | 28% |
| Student > Master | 10 | 14% |
| Student > Bachelor | 9 | 13% |
| Student > Ph. D. Student | 7 | 10% |
| Other | 4 | 6% |
| Other | 7 | 10% |
| Unknown | 14 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 17 | 24% |
| Agricultural and Biological Sciences | 14 | 20% |
| Biochemistry, Genetics and Molecular Biology | 13 | 18% |
| Engineering | 4 | 6% |
| Medicine and Dentistry | 3 | 4% |
| Other | 6 | 8% |
| Unknown | 14 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 24 October 2023.
All research outputs
#3,681,206
of 24,829,155 outputs
Outputs from BMC Bioinformatics
#1,289
of 7,593 outputs
Outputs of similar age
#36,690
of 242,014 outputs
Outputs of similar age from BMC Bioinformatics
#20
of 109 outputs
Altmetric has tracked 24,829,155 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,593 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 82% 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 242,014 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 109 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.