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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Development of a Structured Query Language and Natural Language Processing Algorithm to Identify Lung Nodules in a Cancer Centre
|
|---|---|
| Published in |
Frontiers in Medicine, November 2021
|
| DOI | 10.3389/fmed.2021.748168 |
| Pubmed ID | |
| Authors |
Benjamin Hunter, Sara Reis, Des Campbell, Sheila Matharu, Prashanthi Ratnakumar, Luca Mercuri, Sumeet Hindocha, Hardeep Kalsi, Erik Mayer, Ben Glampson, Emily J. Robinson, Bisan Al-Lazikani, Lisa Scerri, Susannah Bloch, Richard Lee |
X Demographics
The data shown below were collected from the profiles of 7 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 | 2 | 29% |
| France | 1 | 14% |
| Unknown | 4 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 86% |
| Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 4 | 20% |
| Student > Ph. D. Student | 2 | 10% |
| Researcher | 2 | 10% |
| Lecturer | 1 | 5% |
| Unspecified | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 9 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 15% |
| Engineering | 2 | 10% |
| Computer Science | 2 | 10% |
| Agricultural and Biological Sciences | 1 | 5% |
| Unspecified | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 10 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 22 November 2021.
All research outputs
#5,787,890
of 23,310,485 outputs
Outputs from Frontiers in Medicine
#1,311
of 5,971 outputs
Outputs of similar age
#114,973
of 440,495 outputs
Outputs of similar age from Frontiers in Medicine
#109
of 562 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,971 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.5. This one has done well, scoring higher than 78% 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 440,495 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 562 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.